Lampiran 1. Penjualan PT Honda Mandiri Bogor

Size: px
Start display at page:

Download "Lampiran 1. Penjualan PT Honda Mandiri Bogor"

Transcription

1 LAMPIRAN

2 64 Lampiran 1. Penjualan PT Honda Mandiri Bogor PENJUALAN 29 TYPE JAN FEB MAR APR MEI JUNI JULI AGT SEP OKT NOV DES TOTA JAZZ FREED CITY CR-V CIVIC TOTAL PENJUALAN 21 TYPE JAN FEB MAR APR MEI JUNI JULI AGT SEP OKT NOV DES TOTA JAZZ CITY FREED CR-V CIVIC TOTAL PENJUALAN 211 TYPE JAN FEB MAR APR MEI JUNI JULI AGT SEP OKT NOV DES TOTA CITY CIVIC CR-V JAZZ FREED TOTAL

3 65 Lampiran 2. Uji Stasioneritas Null Hypothesis: CITY has a unit root Exogenous: Constant Lag Length: (Automatic based on SIC, MAXLAG=9) t-statistic Prob.* Augmented Dickey-Fuller test statistic Stasioner Test critical values: 1% level % level % level *MacKinnon (1996) one-sided p-values. Null Hypothesis: CIVIC has a unit root Exogenous: Constant Lag Length: 2 (Automatic based on SIC, MAXLAG=9) t-statistic Prob.* Augmented Dickey-Fuller test statistic Stasioner Test critical values: 1% level % level % level *MacKinnon (1996) one-sided p-values. Null Hypothesis: FREED has a unit root Exogenous: Constant Lag Length: (Automatic based on SIC, MAXLAG=9) t-statistic Prob.* Augmented Dickey-Fuller test statistic stasioner Test critical values: 1% level % level % level *MacKinnon (1996) one-sided p-values.

4 66 Lanjutan Lampiran 2. Null Hypothesis: JAZZ has a unit root Exogenous: Constant Lag Length: (Automatic based on SIC, MAXLAG=9) t-statistic Prob.* Augmented Dickey-Fuller test statistic Stasioner Test critical values: 1% level % level % level *MacKinnon (1996) one-sided p-values. Null Hypothesis: CRV has a unit root Exogenous: Constant Lag Length: (Automatic based on SIC, MAXLAG=9) t-statistic Prob.* Augmented Dickey-Fuller test statistic Stasioner Test critical values: 1% level % level % level *MacKinnon (1996) one-sided p-values. Semua Variable stasioner pada level

5 67 Lampiran 3. Uji Kausalitas Granger Pairwise Granger Causality Tests Date: 3/8/12 Time: 13:46 Sample: 29M1 211M12 Lags: 2 Null Hypothesis: Obs F-Statistic Prob. CIVIC does not Granger Cause CITY CITY does not Granger Cause CIVIC CRV does not Granger Cause CITY CITY does not Granger Cause CRV FREED does not Granger Cause CITY CITY does not Granger Cause FREED JAZZ does not Granger Cause CITY CITY does not Granger Cause JAZZ CRV does not Granger Cause CIVIC CIVIC does not Granger Cause CRV FREED does not Granger Cause CIVIC CIVIC does not Granger Cause FREED JAZZ does not Granger Cause CIVIC CIVIC does not Granger Cause JAZZ FREED does not Granger Cause CRV CRV does not Granger Cause FREED JAZZ does not Granger Cause CRV CRV does not Granger Cause JAZZ JAZZ does not Granger Cause FREED FREED does not Granger Cause JAZZ

6 68 Lampiran 4. Uji Lag Optimum VAR Lag Order Selection Criteria Endogenous variables: JAZZ CITY CIVIC CRV FREED Exogenous variables: C Date: 3/8/12 Time: 13:48 Sample: 29M1 211M12 Included observations: 34 Lag LogL LR FPE AIC SC HQ NA * * * * * * indicates lag order selected by the criterion LR: sequential modified LR test statistic (each test at 5% level) FPE: Final prediction error AIC: Akaike information criterion SC: Schwarz information criterion HQ: Hannan-Quinn information criterion berdasarkan nilai AIC optimum di lag1 Lampiran 5. Hasil Estimasi VAR VAR Lag 1 Vector Autoregression Estimates Date: 3/8/12 Time: 13:5 Sample (adjusted): 29M3 211M12 Included observations: 34 after adjustments Standard errors in ( ) & t-statistics in [ ] CRV FREED CITY CIVIC JAZZ CRV(-1) (.22313) (.33862) (.9268) (.6367) (.36917) [ ] [.54154] [ ] [.17559] [ ] CRV(-2) (.23524) (.357) (.9772) (.6713) (.38921) [ ] [.28333] [ ] [-.3813] [.39646] FREED(-1) (.12851) (.1953) (.5338) (.3667) (.21262) [.458] [ ] [.58728] [ ] [ ]

7 69 Lanjutan Lampiran 5. FREED(-2) (.12866) (.19526) (.5345) (.3671) (.21288) [-.9365] [.82228] [.98123] [-.7324] [.39528] CITY(-1) (.4395) (.6133) (.1678) (.11527) (.66834) [ ] [ ] [.92318] [ ] [.82684] CITY(-2) (.49765) (.75523) (.2672) (.142) (.82337) [.6488] [ ] [ ] [.93615] [-.5527] CIVIC(-1) (.8459) ( ) (.35138) (.24138) ( ) [-1.218] [-.322] [ ] [ ] [ ] CIVIC(-2) (.8351) ( ) (.33377) (.22928) ( ) [.15268] [ ] [ ] [.15615] [ ] JAZZ(-1) (.12461) (.18912) (.5176) (.3556) (.2618) [-.3639] [ ] [ ] [ ] [ ] JAZZ(-2) (.13294) (.2176) (.5522) (.3794) (.21996) [ ] [ ] [ ] [ ] [.29724] C (5.4297) ( ) ( ) ( ) ( ) [ 1.735] [ ] [ ] [ ] [ ] R-squared Adj. R-squared Sum sq. resids S.E. equation F-statistic Log likelihood Akaike AIC Schwarz SC Mean dependent S.D. dependent Determinant resid covariance (dofadj Determinant resid covariance Log likelihood Akaike information criterion Schwarz criterion

8 7 Lampiran 6. Uji Stabilitas Model Roots of Characteristic Polynomial Endogenous variables: JAZZ CITY CIVIC CRV FREED Exogenous variables: C Lag specification: 1 1 Date: 3/8/12 Time: 13:49 Root Modulus i i i i No root lies outside the unit circle. VAR satisfies the stability condition. nilai modulus < 1 artinya stabil

9 71 Lampiran 7. Impulse Response Ketika CRV diimpuls Response to Cholesky One S.D. Innovations ± 2 S.E. Response of CRV to CRV Response of FREED to CRV Response of CITY to CRV Response of CIVIC to CRV Response of JAZZ to CRV 8 4-4

10 72 Lanjutan Lampiran 7. Ketika Freed di Impuls Response to Cholesky One S.D. Innovations ± 2 S.E. Response of CRV to FREED Response of FREED to FREED Response of CITY to FREED Response of CIVIC to FREED Response of JAZZ to FREED

11 73 Lanjutan Lampiran 7. Ketika City di Impuls Response to Cholesky One S.D. Innovations ± 2 S.E. Response of CRV to CITY Response of FREED to CITY Response of CITY to CITY Response of CIVIC to CITY Response of JAZZ to CITY

12 74 Lanjutan Lampiran 7. Ketika Civic di Impuls Response to Cholesky One S.D. Innovations ± 2 S.E. 4 Response of CRV to CIVIC 8 Response of FREED to CIVIC Response of CITY to CIVIC 2 Response of CIVIC to CIVIC Response of JAZZ to CIVIC 4-4

13 75 Lanjutan Lampiran 7. Ketika Jazz di Impuls Response to Cholesky One S.D. Innovations ± 2 S.E. Response of CRV to JAZZ Response of FREED to JAZZ Response of CITY to JAZZ Response of CIVIC to JAZZ Response of JAZZ to JAZZ

14 76 Lampiran 8. Forecast Error Variance Decomposition of CRV, Freed, City, Civic, Jazz Variance Decomposition of CRV: Period S.E. CRV FREED CITY CIVIC JAZZ

15 Period S.E. CRV FREED CITY CIVIC JAZZ

16 78 Lanjutan Lampiran 8. Variance Decomposition of FREED: Period S.E. CRV FREED CITY CIVIC JAZZ

17 Period S.E. CRV FREED CITY CIVIC JAZZ

18 8 Lanjutan Lampiran 8. Variance Decomposition of CITY: Period S.E. CRV FREED CITY CIVIC JAZZ

19 Period S.E. CRV FREED CITY CIVIC JAZZ

20 Lanjutan Lampiran 8. Variance Decomposition of CIVIC: Period S.E. CRV FREED CITY CIVIC JAZZ

21 Period S.E. CRV FREED CITY CIVIC JAZZ

22 Lanjutan Lampiran 8. Variance Decomposition of JAZZ: Period S.E. CRV FREED CITY CIVIC JAZZ

23 85 Period S.E. CRV FREED CITY CIVIC JAZZ Cholesky Ordering: CRV FREED CITY CIVIC JAZZ Lampiran 9. Regresi Model Minitab Regression Analysis: Jazz versus jlag1, Freed,... The regression equation is Jazz = jlag Freed flag City -.5 citlag CR-V crlag Civic civlag1 Predictor Coef SE Coef T P Constant jlag Freed flag City citlag CR-V crlag Civic civlag S = R-Sq = 41.3% R-Sq(adj) = 13.4% Analysis of Variance Source DF SS MS F P Regression Residual Error Total Source DF Seq SS jlag Freed flag City citlag CR-V 1.1 crlag Civic civlag Unusual Observations Obs jlag1 Jazz Fit SE Fit Residual St Resid R R denotes an observation with a large standardized residual

24 86 Lanjutan Lampiran 9. Regression Analysis: jlag1 versus Jazz, Freed,... The regression equation is jlag1 = Jazz Freed flag City citlag CR-V crlag Civic civlag1 Predictor Coef SE Coef T P Constant Jazz Freed flag City citlag CR-V crlag Civic civlag S = R-Sq = 47.6% R-Sq(adj) = 22.7% Analysis of Variance Source DF SS MS F P Regression Residual Error Total Source DF Seq SS Jazz Freed flag City citlag1 1.3 CR-V 1. crlag Civic civlag Unusual Observations Obs Jazz jlag1 Fit SE Fit Residual St Resid R R denotes an observation with a large standardized residual.

25 87 Lanjutan Lampiran 9. Regression Analysis: Freed versus flag1, Jazz,... The regression equation is Freed = flag Jazz jlag City citlag CR-V crlag Civic -.71 civlag1 Predictor Coef SE Coef T P Constant flag Jazz jlag City citlag CR-V crlag Civic civlag S = R-Sq = 33.8% R-Sq(adj) = 2.4% Analysis of Variance Source DF SS MS F P Regression Residual Error Total Source DF Seq SS flag Jazz jlag City citlag CR-V crlag Civic civlag Unusual Observations Obs flag1 Freed Fit SE Fit Residual St Resid R R R denotes an observation with a large standardized residual.

26 88 Lanjutan Lampiran 9. Regression Analysis: flag1 versus Freed, Jazz,... The regression equation is flag1 = Freed Jazz jlag City -.21 citlag CR-V crlag Civic +.69 civlag1 Predictor Coef SE Coef T P Constant Freed Jazz jlag City citlag CR-V crlag Civic civlag S = R-Sq = 28.% R-Sq(adj) =.% Analysis of Variance Source DF SS MS F P Regression Residual Error Total Source DF Seq SS Freed Jazz jlag City citlag CR-V crlag Civic 1.58 civlag Unusual Observations Obs Freed flag1 Fit SE Fit Residual St Resid R R denotes an observation with a large standardized residual.

27 89 Lanjutan Lampiran 9. Regression Analysis: City versus citlag1, Jazz,... The regression equation is City = citlag Jazz jlag Freed -.75 flag CR-V crlag Civic civlag1 Predictor Coef SE Coef T P Constant citlag Jazz jlag Freed flag CR-V crlag Civic civlag S = R-Sq = 26.5% R-Sq(adj) =.% Analysis of Variance Source DF SS MS F P Regression Residual Error Total Source DF Seq SS citlag Jazz jlag Freed flag CR-V crlag Civic civlag Unusual Observations Obs citlag1 City Fit SE Fit Residual St Resid R R R denotes an observation with a large standardized residual.

28 9 Lanjutan Lampiran 9. Regression Analysis: citlag1 versus City, Jazz,... The regression equation is citlag1 = City Jazz jlag Freed flag CR-V crlag Civic civlag1 Predictor Coef SE Coef T P Constant City Jazz jlag Freed flag CR-V crlag Civic civlag S = R-Sq = 56.5% R-Sq(adj) = 35.8% Analysis of Variance Source DF SS MS F P Regression Residual Error Total Source DF Seq SS City Jazz jlag Freed flag CR-V crlag Civic civlag Unusual Observations Obs City citlag1 Fit SE Fit Residual St Resid R R R denotes an observation with a large standardized residual.

29 91 Lanjutan Lampiran 9. Regression Analysis: CR-V versus crlag1, Jazz,... The regression equation is CR-V = crlag Jazz jlag Freed -.48 flag City citlag Civic civlag1 Predictor Coef SE Coef T P Constant crlag Jazz jlag Freed flag City citlag Civic civlag S = R-Sq = 55.5% R-Sq(adj) = 34.4% Analysis of Variance Source DF SS MS F P Regression Residual Error Total Source DF Seq SS crlag Jazz jlag Freed flag City citlag Civic civlag Unusual Observations Obs crlag1 CR-V Fit SE Fit Residual St Resid R R denotes an observation with a large standardized residual.

30 92 Lanjutan Lampiran 9. Regression Analysis: crlag1 versus CR-V, Jazz,... The regression equation is crlag1 = CR-V +.52 Jazz -.74 jlag Freed +.65 flag City citlag Civic civlag1 Predictor Coef SE Coef T P Constant CR-V Jazz jlag Freed flag City citlag Civic civlag S = R-Sq = 59.6% R-Sq(adj) = 4.5% Analysis of Variance Source DF SS MS F P Regression Residual Error Total Source DF Seq SS CR-V Jazz jlag Freed flag City citlag Civic civlag Unusual Observations Obs CR-V crlag1 Fit SE Fit Residual St Resid R R R R denotes an observation with a large standardized residual.

31 93 Lanjutan Lampiran 9. Regression Analysis: Civic versus civlag1, Jazz,... The regression equation is Civic = civlag Jazz jlag Freed -.78 flag1 +.5 City citlag CR-V -.17 crlag1 Predictor Coef SE Coef T P Constant civlag Jazz jlag Freed flag City citlag CR-V crlag S = R-Sq = 6.3% R-Sq(adj) = 41.5% Analysis of Variance Source DF SS MS F P Regression Residual Error Total Source DF Seq SS civlag Jazz jlag Freed 1.78 flag City 1.83 citlag CR-V crlag Unusual Observations Obs civlag1 Civic Fit SE Fit Residual St Resid R R R R denotes an observation with a large standardized residual.

32 94 Lanjutan Lampiran 9. Regression Analysis: civlag1 versus Civic, Jazz,... The regression equation is civlag1 = Civic -.52 Jazz +.44 jlag Freed +.28 flag City citlag CR-V crlag1 Predictor Coef SE Coef T P Constant Civic Jazz jlag Freed flag City citlag CR-V crlag S = R-Sq = 43.% R-Sq(adj) = 16.1% Analysis of Variance Source DF SS MS F P Regression Residual Error Total Source DF Seq SS Civic Jazz jlag Freed 1.26 flag City citlag CR-V crlag

LAMPIRAN 1. Tabel 1. Data Indeks Harga Saham PT. ANTAM, tbk Periode 20 Januari Februari 2012

LAMPIRAN 1. Tabel 1. Data Indeks Harga Saham PT. ANTAM, tbk Periode 20 Januari Februari 2012 LAMPIRAN 1 Tabel 1. Data Indeks Harga Saham PT. ANTAM, tbk Periode 20 Januari 2011 29 Februari 2012 No Tanggal Indeks Harga Saham No Tanggal Indeks Harga Saham 1 20-Jan-011 2.35 138 05-Agst-011 1.95 2

More information

LAMPIRAN. Lampiran 1. Data deviden untuk menghitung economic performance tahun

LAMPIRAN. Lampiran 1. Data deviden untuk menghitung economic performance tahun LAMPIRAN Lampiran 1. Data deviden untuk menghitung economic performance tahun 2011-2013 No Kode 2011 2012 2013 Div Div Div 1 SMCB 23 32 48 2 UNVR 250 300 300 3 AMFG 80 80 80 4 INTP 263 293 450 5 ICBP 116

More information

EVALUATION OF CO-INJECTION MOLDING: AN ALTERNATIVE TO RECYCLING SCRAP PAINTED BUMPERS. Emily Cortright. Senior Honors Thesis

EVALUATION OF CO-INJECTION MOLDING: AN ALTERNATIVE TO RECYCLING SCRAP PAINTED BUMPERS. Emily Cortright. Senior Honors Thesis EVALUATION OF CO-INJECTION MOLDING: AN ALTERNATIVE TO RECYCLING SCRAP PAINTED BUMPERS by Emily Cortright Senior Honors Thesis The Ohio State University Submitted to the Department of Industrial, Welding,

More information

Muskrat Falls Project - Exhibit 45 Page 1 of 7

Muskrat Falls Project - Exhibit 45 Page 1 of 7 Key regression equations Domestic Average Use equation for Newfoundland Power Service Territory Muskrat Falls Project - Exhibit 45 Page 1 of 7 Dependent Variable: NPAVDUSE Date: 1/18/1 Time: 15:31 Sample:

More information

Lampiran 1. Tabel Sampel Penelitian

Lampiran 1. Tabel Sampel Penelitian Lampiran 1 Tabel Sampel Penelitian No Kode Emiten Nama Perusahaan Tanggal IPO 1 APLN Agung Podomoro Land Tbk 11 Nov 2010 2 ASRI Alam Sutera Reality Tbk 18 Dec 2007 3 BAPA Bekasi Asri Pemula Tbk 14 Jan

More information

Data Hasil Olahan Populasi

Data Hasil Olahan Populasi LAMPIRAN 1 Data Hasil Olahan Populasi No. Kode Bank Nama Bank Kriteria 1 Kriteria 2 Sampel terpilih 1. AGRO Bank Rakyat Indonesia Agro Niaga Tbk 2. AGRS Bank Agris Tbk X X 3. BABP Bank MNC Internasional

More information

fruitfly fecundity example summary Tuesday, July 17, :13:19 PM 1

fruitfly fecundity example summary Tuesday, July 17, :13:19 PM 1 fruitfly fecundity example summary Tuesday, July 17, 2018 02:13:19 PM 1 The UNIVARIATE Procedure Variable: fecund line = NS Basic Statistical Measures Location Variability Mean 33.37200 Std Deviation 8.94201

More information

Stat 301 Lecture 26. Model Selection. Indicator Variables. Explanatory Variables

Stat 301 Lecture 26. Model Selection. Indicator Variables. Explanatory Variables Model Selection Response: Highway MPG Explanatory: 13 explanatory variables Indicator variables for types of car Sports Car, SUV, Wagon, Minivan There is an indicator for Pickup but there are no pickups

More information

Testing for seasonal unit roots in heterogeneous panels using monthly data in the presence of cross sectional dependence

Testing for seasonal unit roots in heterogeneous panels using monthly data in the presence of cross sectional dependence Testing for seasonal unit roots in heterogeneous panels using monthly data in the presence of cross sectional dependence Jesús Otero Facultad de Economía Universidad del Rosario Colombia Jeremy Smith y

More information

Stat 301 Lecture 30. Model Selection. Explanatory Variables. A Good Model. Response: Highway MPG Explanatory: 13 explanatory variables

Stat 301 Lecture 30. Model Selection. Explanatory Variables. A Good Model. Response: Highway MPG Explanatory: 13 explanatory variables Model Selection Response: Highway MPG Explanatory: 13 explanatory variables Indicator variables for types of car Sports Car, SUV, Wagon, Minivan 1 Explanatory Variables Engine size (liters) Cylinders (number)

More information

LAMPIRAN 1. Lampiran Nama dan Kondisi Perusahaan Textile No Kode Nama Perusahaan Hasil z-score FD Non-FD

LAMPIRAN 1. Lampiran Nama dan Kondisi Perusahaan Textile No Kode Nama Perusahaan Hasil z-score FD Non-FD 87 LAMPIRAN 1. Lampiran Nama dan Kondisi Perusahaan Textile 2010-2014 No Kode Nama Perusahaan Hasil z-score FD Non-FD 1 ADMG PT Polychem Indonesia Tbk 1,39 1 2 ARGO PT Argo Pantes Tbk 0,93 1 3 CTNX PT

More information

Commercial-in-Confidence Ashton Old Baths Financial Model - Detailed Cashflow

Commercial-in-Confidence Ashton Old Baths Financial Model - Detailed Cashflow Year 0 1 2 3 4 5 6 7 8 9 10 11 12 13 Oct-16 Nov-16 Dec-16 Jan-17 Feb-17 Mar-17 Apr-17 May-17 Jun-17 Jul-17 Aug-17 Sep-17 Oct-17 2,038 2,922 4,089 4,349 6,256 7,124 8,885 8,885 8,885 8,885 8,885 8,885 9,107

More information

DOT HS Summary of Statistical Findings November Statistical Methodology to Make Early Estimates of Motor Vehicle Traffic Fatalities

DOT HS Summary of Statistical Findings November Statistical Methodology to Make Early Estimates of Motor Vehicle Traffic Fatalities TRAFFIC SAFETY FACTS Research Note DOT HS 811 123 Summary of Statistical Findings November 2010 Statistical Methodology to Make Early Estimates of Motor Vehicle Traffic Fatalities Highlights Beginning

More information

Stat 401 B Lecture 27

Stat 401 B Lecture 27 Model Selection Response: Highway MPG Explanatory: 13 explanatory variables Indicator variables for types of car Sports Car, SUV, Wagon, Minivan There is an indicator for Pickup but there are no pickups

More information

Lampiran i Jadwal Penelitian

Lampiran i Jadwal Penelitian Lampiran i Jadwal Penelitian Tahap penelitian Juni Juli Agust Sept Oktb Pengajuan Judul Penyetujuan proposal Penyelesain proposal Bimbingan skripisi 81 Lampiran i (lanjutan) Daftar Sampel Perusahaan Manufaktur

More information

TRY OUT 30 Responden Variabel Kompetensi/ x1

TRY OUT 30 Responden Variabel Kompetensi/ x1 1 TRY OUT 30 Responden Variabel Kompetensi/ x1 Case Processing Summary N % 30 100.0 Cases Excluded a 0.0 Total 30 100.0 a. Listwise deletion based on all variables in the procedure. Reliability Statistics

More information

Stat 401 B Lecture 31

Stat 401 B Lecture 31 Model Selection Response: Highway MPG Explanatory: 13 explanatory variables Indicator variables for types of car Sports Car, SUV, Wagon, Minivan 1 Explanatory Variables Engine size (liters) Cylinders (number)

More information

Lampiran IV. Hasil Output SPSS Versi 16.0 untuk Analisis Deskriptif

Lampiran IV. Hasil Output SPSS Versi 16.0 untuk Analisis Deskriptif 182 Lampiran IV. Hasil Output SPSS Versi 16.0 untuk Analisis Deskriptif Frequencies Statistics Kinerja Guru Sikap Guru Thdp Kepsek Motivasi Kerja Guru Kompetensi Pedagogik Guru N Valid 64 64 64 64 Missing

More information

. Enter. Model Summary b. Std. Error. of the. Estimate. Change. a. Predictors: (Constant), Emphaty, reliability, Assurance, responsive, Tangible

. Enter. Model Summary b. Std. Error. of the. Estimate. Change. a. Predictors: (Constant), Emphaty, reliability, Assurance, responsive, Tangible LAMPIRAN Variables Entered/Removed b Variables Model Variables Entered Removed Method 1 Emphaty, reliability, Assurance, responsive, Tangible a. Enter a. All requested variables entered. b. Dependent Variable:

More information

Daftar Sampel Perusahaan

Daftar Sampel Perusahaan Lampiran i Daftar Sampel Perusahaan NAMA PERUSAHAAN PT. Bank Bukopin Tbk PT. Bank Bumi Arta Tbk PT. Bank Central Asia Tbk PT. Bank CIMB Niaga Tbk PT. Bank Danamon Indonesia Tbk PT. Bank Ekonomi Raharja

More information

HASIL OUTPUT SPSS. Reliability Scale: ALL VARIABLES

HASIL OUTPUT SPSS. Reliability Scale: ALL VARIABLES 139 HASIL OUTPUT SPSS Reliability Scale: ALL VARIABLES Case Processing Summary N % 100 100.0 Cases Excluded a 0.0 Total 100 100.0 a. Listwise deletion based on all variables in the procedure. Reliability

More information

Lampiran 1 DAFTAR PERUSAHAAN MANUFAKTUR YANG TERDAFTAR DI BURSA EFEK INDONESIA TAHUN (Menyajikan Laporan Keuangan Secara Berturut-turut)

Lampiran 1 DAFTAR PERUSAHAAN MANUFAKTUR YANG TERDAFTAR DI BURSA EFEK INDONESIA TAHUN (Menyajikan Laporan Keuangan Secara Berturut-turut) Lampiran 1 DAFTAR PERUSAHAAN MANUFAKTUR YANG TERDAFTAR DI BURSA EFEK INDONESIA TAHUN 2014-2016 (Menyajikan Laporan Keuangan Secara Berturut-turut) NO KODE NAMA PERUSAHAAN 1 ALKA PT ALASKA INDONESIA TBK

More information

Identify Formula for Throughput with Multi-Variate Regression

Identify Formula for Throughput with Multi-Variate Regression DECISION SCIENCES INSTITUTE Using multi-variate regression and simulation to identify a generic formula for throughput of flow manufacturing lines with identical stations Samrawi Berhanu Gebermedhin and

More information

a. Uji kenormalan data model sebaran suhu pada band 7 citra tahun 2001 b. Uji kenormalan data model sebaran suhu pada band 4 citra tahun 2006

a. Uji kenormalan data model sebaran suhu pada band 7 citra tahun 2001 b. Uji kenormalan data model sebaran suhu pada band 4 citra tahun 2006 Dependent Variable: Suhu Regression Standardized Residual of Plot P-P Normal Dependent Variable: Suhu Regression Standardized Residual of Plot P-P Normal Lampiran 1. Hasil Uji Normalitas a. Uji kenormalan

More information

Review of Upstate Load Forecast Uncertainty Model

Review of Upstate Load Forecast Uncertainty Model Review of Upstate Load Forecast Uncertainty Model Arthur Maniaci Supervisor, Load Forecasting & Energy Efficiency New York Independent System Operator Load Forecasting Task Force June 17, 2011 Draft for

More information

Rata-Rata Nilai Debt to Equity Ratio (DER) Perusahaan Otomotif yang 0, ,97 0, ,44 1,9 1,6 1,4 1,7 1,65

Rata-Rata Nilai Debt to Equity Ratio (DER) Perusahaan Otomotif yang 0, ,97 0, ,44 1,9 1,6 1,4 1,7 1,65 Lampiran I Rata-Rata Nilai Debt to Equity Ratio (DER) Perusahaan Otomotif yang Terdaftar di Bursa Efek Indonesia Periode 2010-2013 DER No Kode Nama perusahaan 2010 2011 2012 2013 Rata-rata 1. ASII PT Astra

More information

Appendix B STATISTICAL TABLES OVERVIEW

Appendix B STATISTICAL TABLES OVERVIEW Appendix B STATISTICAL TABLES OVERVIEW Table B.1: Proportions of the Area Under the Normal Curve Table B.2: 1200 Two-Digit Random Numbers Table B.3: Critical Values for Student s t-test Table B.4: Power

More information

Lecture 2. Review of Linear Regression I Statistics Statistical Methods II. Presented January 9, 2018

Lecture 2. Review of Linear Regression I Statistics Statistical Methods II. Presented January 9, 2018 Review of Linear Regression I Statistics 211 - Statistical Methods II Presented January 9, 2018 Estimation of The OLS under normality the OLS Dan Gillen Department of Statistics University of California,

More information

Model Selection in Information Systems Research Using Partial Least Squares Based Structural Equation Modeling

Model Selection in Information Systems Research Using Partial Least Squares Based Structural Equation Modeling Model Selection in Information Systems Research Using Partial Least Squares Based Structural Equation Modeling Journal: International Conference on Information Systems 2012 Manuscript ID: ICIS-0250-2012.R1

More information

Table 2: Tests for No-Cointegration Empirical Rejection Frequency of 5% Tests

Table 2: Tests for No-Cointegration Empirical Rejection Frequency of 5% Tests Table 2: Tests for No-Cointegration Empirical Rejection Frequency of 5% Tests EQ-TAR BAND-TAR c T ADF HW EG BVD ADF HW EG BVD 3 100 0.434 0.939 0.950 0.990 0.133 0.253 0.264 0.459 3 250 0.990 1 1 1 0.638

More information

DATA PENELITIAN 1. CAR CAR (%)

DATA PENELITIAN 1. CAR CAR (%) DATA PENELITIAN. CAR No. Tahun Nama Bank CAR (%) Arta Niaga Kencana 2,8 2 Artha Graha 0,58 3 Asiatic -9,9 4 Danpac 25,74 5 Global International 42, 6 Harmoni 7,47 7 IFI 22,62 8 Bukopin 20,37 9 International

More information

LAMPIRAN I FORMULIR SURVEI

LAMPIRAN I FORMULIR SURVEI LAMPIRAN I FORMULIR SURVEI 56 Universitas Kristen Maranatha L.1.1 FORMULIR SURVEI KEBISINGAN LALULINTAS Lokasi : Cuaca : Hari/Tanggal : Surveyor : Periode / menit 5 10 15 20 25 30 35 40 45 50 55 60 65

More information

LAMPIRAN DAFTAR SAMPEL PENELITIAN. Kriteria No. Nama Perusahaan. Sampel Emiten

LAMPIRAN DAFTAR SAMPEL PENELITIAN. Kriteria No. Nama Perusahaan. Sampel Emiten LAMPIRAN DAFTAR SAMPEL PENELITIAN Kode Kriteria No. Nama Perusahaan Sampel Emiten 1 2 3 1. AGRO PT. Bank Agroniaga, Tbk 1 2. BABP PT. Bank ICB Bumiputera Indonesia, Tbk X - 3. BBCA PT. Bank Central Asia,

More information

R-Sq criterion Data : Surgical room data Chap 9

R-Sq criterion Data : Surgical room data Chap 9 Chap 9 - For controlled experiments model reduction is not very important. P 347 - For exploratory observational studies, model reduction is important. Criteria for model selection p353 R-Sq criterion

More information

Lampiran 1. Data Perusahaan

Lampiran 1. Data Perusahaan Lampiran. Data Perusahaan NO PERUSH MV EARN DIV CFO LB.USAHA TOT.ASS ACAP 3 9 8 5 369 9678 376 ADES 75-35 - 6 3559-5977 7358 3 AQUA 5 368 65 335 797 678 53597 BATA 88 5 9 863 958 93 5 BKSL 5.3 -. 9-9 5

More information

COMPARISON OF FIXED & VARIABLE RATES (25 YEARS) CHARTERED BANK ADMINISTERED INTEREST RATES - PRIME BUSINESS*

COMPARISON OF FIXED & VARIABLE RATES (25 YEARS) CHARTERED BANK ADMINISTERED INTEREST RATES - PRIME BUSINESS* COMPARISON OF FIXED & VARIABLE RATES (25 YEARS) 2 Fixed Rates Variable Rates For Internal Use Only. FIXED RATES OF THE PAST 25 YEARS AVERAGE RESIDENTIAL MORTGAGE LENDING RATE - 5 YEAR* (Per cent) Year

More information

COMPARISON OF FIXED & VARIABLE RATES (25 YEARS) CHARTERED BANK ADMINISTERED INTEREST RATES - PRIME BUSINESS*

COMPARISON OF FIXED & VARIABLE RATES (25 YEARS) CHARTERED BANK ADMINISTERED INTEREST RATES - PRIME BUSINESS* COMPARISON OF FIXED & VARIABLE RATES (25 YEARS) 2 Fixed Rates Variable Rates FIXED RATES OF THE PAST 25 YEARS AVERAGE RESIDENTIAL MORTGAGE LENDING RATE - 5 YEAR* (Per cent) Year Jan Feb Mar Apr May Jun

More information

Sharif University of Technology. Graduate School of Management and Economics. Econometrics I. Fall Seyed Mahdi Barakchian

Sharif University of Technology. Graduate School of Management and Economics. Econometrics I. Fall Seyed Mahdi Barakchian Sharif University of Technology Graduate School of Management and Economics Econometrics I Fall 2010 Seyed Mahdi Barakchian Textbook: Wooldridge, J., Introductory Econometrics: A Modern Approach, South

More information

Lampiran 1. Uji Validitas dan Reliability Variabel Kualitas Pelayanan

Lampiran 1. Uji Validitas dan Reliability Variabel Kualitas Pelayanan Lampira 1. Uji itas da Reliability Variabel Kualitas Pelayaa 1 Frequecy Percet Percet Percet Kurag setuju 14 14.1 14.1 14.1 Ragu-ragu 57 57.6 57.6 71.7 Setuju 24 24.2 24.2 96.0 Sagat Setuju 4 4.0 4.0 100.0

More information

Regression Models Course Project, 2016

Regression Models Course Project, 2016 Regression Models Course Project, 2016 Venkat Batchu July 13, 2016 Executive Summary In this report, mtcars data set is explored/analyzed for relationship between outcome variable mpg (miles for gallon)

More information

TESTING FOR INVERTIBILITY IN UNIVARIATE ARIMA PROCESSES. Rafael Flores de Frutos (*) Miguel Jerez Méndez (*) May 2002

TESTING FOR INVERTIBILITY IN UNIVARIATE ARIMA PROCESSES. Rafael Flores de Frutos (*) Miguel Jerez Méndez (*) May 2002 TESTING FOR INVERTIBILITY IN UNIVARIATE ARIMA PROCESSES Rafael Flores de Frutos (*) Miguel Jerez Méndez (*) May 2002 Abstract. We propose a test statistic to detect whether a differenced time series follows

More information

Figure 1 Fuel Injection Pump II. EXPERIMENTAL DETAILS. A. Design of experiments

Figure 1 Fuel Injection Pump II. EXPERIMENTAL DETAILS. A. Design of experiments Optimization of Fuel Injection Pump Parameters of TATA 63 & TATA 609 Engine Using Diesel & Biodiesel Samiyoddin Siddiqui, 2 M.Shakebuddin and 3 H.A.Hussain M.Tech Student, 2,3 Assistant Professor,,2,3

More information

NJ Solar Market Update As of 6/30/15

NJ Solar Market Update As of 6/30/15 NJ Solar Market Update As of 6/30/ Prepared by Charlie Garrison July 17, 20 SOLAR INSTALLED CAPACITY DATA The preliminary installed solar capacity as of 6/30/ is approximately 1,500.7 MW. Approximately

More information

Important Formulas. Discrete Probability Distributions. Probability and Counting Rules. The Normal Distribution. Confidence Intervals and Sample Size

Important Formulas. Discrete Probability Distributions. Probability and Counting Rules. The Normal Distribution. Confidence Intervals and Sample Size blu38582_if_1-8.qxd 9/27/10 9:19 PM Page 1 Important Formulas Chapter 3 Data Description Mean for individual data: Mean for grouped data: Standard deviation for a sample: X2 s X n 1 or Standard deviation

More information

Booklet of Code and Output for STAD29/STA 1007 Final Exam

Booklet of Code and Output for STAD29/STA 1007 Final Exam Booklet of Code and Output for STAD29/STA 1007 Final Exam List of Figures in this document by page: List of Figures 1 Raisins data.............................. 2 2 Boxplot of raisin data........................

More information

UJI VALIDITAS DAN RELIABILIAS VARIABEL KOMPENSASI

UJI VALIDITAS DAN RELIABILIAS VARIABEL KOMPENSASI 1 UJI VALIDITAS DAN RELIABILIAS VARIABEL KOMPENSASI Case Processing Summary N % 20 100.0 Cases Excluded a 0.0 Total 20 100.0 a. Listwise deletion based on all variables in the procedure. Reliability Statistics

More information

TRINITY COLLEGE DUBLIN THE UNIVERSITY OF DUBLIN. Faculty of Engineering, Mathematics and Science. School of Computer Science and Statistics

TRINITY COLLEGE DUBLIN THE UNIVERSITY OF DUBLIN. Faculty of Engineering, Mathematics and Science. School of Computer Science and Statistics ST7003-1 TRINITY COLLEGE DUBLIN THE UNIVERSITY OF DUBLIN Faculty of Engineering, Mathematics and Science School of Computer Science and Statistics Postgraduate Certificate in Statistics Hilary Term 2015

More information

ANCR CRU Statistics February 2007 to December 2007

ANCR CRU Statistics February 2007 to December 2007 ANCR CRU Statistics February 2007 to December 2007 o Jan/07 Feb/07* Mar/07 Apr/07 May/07 Jun/07 Jul/07 Aug/07 Sep/07 Oct/07 Nov/07 Dec/07 Total notes data from Perimeter phone system unavailable prior

More information

Factors Influencing Malaysian Palm Oil Export Demand in Long-Run and Short Run

Factors Influencing Malaysian Palm Oil Export Demand in Long-Run and Short Run International Journal of Business and Management 1 (2): 204-210, 2017 e-issn: 2590-3721 RMP Publications, 2017 DOI: 10.26666/rmp.ijbm.2017.2.31 Factors Influencing Malaysian Palm Oil Export Demand in Long-Run

More information

SEM over time. Changes in Structure, changes in Means

SEM over time. Changes in Structure, changes in Means SEM over time Changes in Structure, changes in Means Measuring at two time points Is the structure the same Do the means change (is there growth) Create the data x.model

More information

LAMPIRAN UJI VALIDITAS

LAMPIRAN UJI VALIDITAS LAMPIRAN UJI VALIDITAS 1 e1 e2,00 Q1,04 Q2,01 -,04 e3 Q3,00 -,21 -,09 e4 Q4,49 -,01 e5 Q5,70,50,71 e6 Q6,47,69,74 e7 Q7,54,41,08 e8 Q8,17 e9 Q9,01 e10 Q10 Kompetensi Guru Chi-Square = 78,430 Probabilitas

More information

LAMPIRAN. Lampiran 1 Data Sampel Penelitian

LAMPIRAN. Lampiran 1 Data Sampel Penelitian LAMPIRAN Lampiran Data Sampel Penelitian Variabel Karakteristik Auditor pada Perusahaan Sampel Ukuran KAP No Kode 2 2 22 23 (Aryanto, Amir AGRO Jusuf, Mawar & Saptoto) 2 BABP 3 BACA 4 BAEK 5 BBCA 6 BBKP

More information

Road Surface characteristics and traffic accident rates on New Zealand s state highway network

Road Surface characteristics and traffic accident rates on New Zealand s state highway network Road Surface characteristics and traffic accident rates on New Zealand s state highway network Robert Davies Statistics Research Associates http://www.statsresearch.co.nz Joint work with Marian Loader,

More information

DATA SAMPEL TAHUN 2006

DATA SAMPEL TAHUN 2006 DATA SAMPEL TAHUN 2006 No Nama Emiten CGPI Kode Saham Harga Saham EPS PER Laba Bersih 1 Bank Niaga 89.27 BNGA 920 54 17.02 647,732 2 Bank Mandiri 83.66 BMRI 2,900 118 24.65 2,422,472 3 Astra International

More information

Forecasting China s Inflation in a Data-Rich. Environment

Forecasting China s Inflation in a Data-Rich. Environment Forecasting China s Inflation in a Data-Rich Environment Ching-Yi Lin Department of Economics, National Tsing Hua University Chun Wang Department of Economics, Brooklyn College, CUNY Abstract Inflation

More information

The PRINCOMP Procedure

The PRINCOMP Procedure Grizzly Bear Project - Coastal Sites - invci 15:14 Friday, June 11, 2010 1 Food production variables The PRINCOMP Procedure Observations 16 Variables 4 Simple Statistics PRECIP ndvi aet temp Mean 260.8102476

More information

The Coefficient of Determination

The Coefficient of Determination The Coefficient of Determination Lecture 46 Section 13.9 Robb T. Koether Hampden-Sydney College Tue, Apr 13, 2010 Robb T. Koether (Hampden-Sydney College) The Coefficient of Determination Tue, Apr 13,

More information

A production function in the red grouper fishery, Mexico

A production function in the red grouper fishery, Mexico A production function in the red grouper fishery, Mexico Alvaro Hernández-Flores Carmen Monroy-García Manuel Rodríguez International Institute of Fisheries Economists and Trade IIFET Conference 216 Aberdeen,

More information

TRY OUT 25 Responden Variabel Kepuasan / x1

TRY OUT 25 Responden Variabel Kepuasan / x1 1 TRY OUT 25 Responden Variabel Kepuasan / x1 Case Processing Summary N % 25 100.0 Cases Excluded a 0.0 Total 25 100.0 a. Listwise deletion based on all variables in the procedure. Reliability Statistics

More information

Redesigns and Residuals

Redesigns and Residuals Redesigns and Residuals Quantifying the Impact of Vehicle Redesigns on Residual Values Conference of Automotive Remarketing 2013 Session Topics OVERVIEW SAAR Unemployment & Consumer Confidence Gas Prices

More information

Universitas Sumatera Utara

Universitas Sumatera Utara LAMPIRAN I LAMPRIAN PDRB Harga Berlaku NO KAB/KOTA 2005 2006 2007 2008 2009 2010 1 Asahan 15527794210 6429147880 8174125380 9505603030 10435935630 11931676610 2 Dairi 2303591460 2552751860 2860204810 3116742540

More information

Growth cycles in Industrial production (IIP) (percentage deviation from trend*, seasonally adjusted) Jan-00 Aug-06 Sep-94. Dec-01.

Growth cycles in Industrial production (IIP) (percentage deviation from trend*, seasonally adjusted) Jan-00 Aug-06 Sep-94. Dec-01. Chile The reference series The reference series used for constructing OECD Composite ing Indicator (CLI) for Chile is the index of production in total manufacturing, which is a proxy for the monthly index

More information

Data Nama Perusahaan Perbankan Yang Terdaftar Di BEI.

Data Nama Perusahaan Perbankan Yang Terdaftar Di BEI. LAMPIRAN Lampiran 1 Data Nama Perusahaan Perbankan Yang Terdaftar Di BEI. No Kode Perusahaan Nama Perusahaan 1 AGRO Bank Rakyat Indonesia Agroniaga Tbk 2 BMRI Bank Mandiri (Persero) Tbk 3 BMAS PT Bank

More information

AN EVALUATION OF THE 50 KM/H DEFAULT SPEED LIMIT IN REGIONAL QUEENSLAND

AN EVALUATION OF THE 50 KM/H DEFAULT SPEED LIMIT IN REGIONAL QUEENSLAND AN EVALUATION OF THE 50 KM/H DEFAULT SPEED LIMIT IN REGIONAL QUEENSLAND by Simon Hosking Stuart Newstead Effie Hoareau Amanda Delaney November 2005 Report No: 265 Project Sponsored By ii MONASH UNIVERSITY

More information

Time Series Topics (using R)

Time Series Topics (using R) Time Series Topics (using R) (work in progress, 2.0) Oscar Torres-Reyna otorres@princeton.edu July 2015 http://dss.princeton.edu/training/ date1 date2 date3 date4 1 1-Jan-90 1/1/1990 19900101 199011 2

More information

NJ Solar Market Update

NJ Solar Market Update NJ Solar Market Update April 16, 20 Renewable Energy Committee Meeting Trenton, NJ Prepared by Charlie Garrison Solar Installed Capacity Data The preliminary installed solar capacity as of 3/31/ is approximately

More information

EXST7034 Multiple Regression Geaghan Chapter 11 Bootstrapping (Toluca example) Page 1

EXST7034 Multiple Regression Geaghan Chapter 11 Bootstrapping (Toluca example) Page 1 Chapter 11 Bootstrapping (Toluca example) Page 1 Toluca Company Example (Problem from Neter, Kutner, Nachtsheim & Wasserman 1996,1.21) A particular part needed for refigeration equipment replacement parts

More information

Keywords Price cointegration, sunflower seed, crude oil, growing seasons, Hungary. JEL codes: C18, O13, Q11

Keywords Price cointegration, sunflower seed, crude oil, growing seasons, Hungary. JEL codes: C18, O13, Q11 Do crude oil prices influence new crop sunflower seed futures price discovery in Hungary? A cointegration analysis contrasting the application of multi-seasonal time series with a seasonal approach By

More information

NE (SE) Beam

NE (SE) Beam Predicted clear day beam and diffuse irradiances (/ W m 2 ) on vertical and horizontal surfaces on specified days in northern (N) and southern (S) hemispheres (see notes at foot of table): LATITUDE 60

More information

Sunrise: 05:48 N (S) Beam

Sunrise: 05:48 N (S) Beam Predicted clear day beam and diffuse irradiances (/ W m 2 ) on vertical and horizontal surfaces on specified days in northern (N) and southern (S) hemispheres (see notes at foot of table): LATITUDE 40

More information

Model Information Data Set. Response Variable (Events) Summe Response Variable (Trials) N Response Distribution Binomial Link Function

Model Information Data Set. Response Variable (Events) Summe Response Variable (Trials) N Response Distribution Binomial Link Function 02:32 Donnerstag, November 03, 2016 1 Model Information Data Set WORK.EXP Response Variable (Events) Summe Response Variable (Trials) N Response Distribution inomial Link Function Logit Variance Function

More information

Fuel prices and road accident outcomes in New Zealand

Fuel prices and road accident outcomes in New Zealand Crawford School of Public Policy CAMA Centre for Applied Macroeconomic Analysis Fuel prices and road accident outcomes in New Zealand CAMA Working Paper 57/2018 November 2018 Rohan Best Department of Economics,

More information

Professor Dr. Gholamreza Nakhaeizadeh. Professor Dr. Gholamreza Nakhaeizadeh

Professor Dr. Gholamreza Nakhaeizadeh. Professor Dr. Gholamreza Nakhaeizadeh Statistic Methods in in Data Mining Business Understanding Data Understanding Data Preparation Deployment Modelling Evaluation Data Mining Process (Part 2) 2) Professor Dr. Gholamreza Nakhaeizadeh Professor

More information

An analysis of price and volatility transmission in butter, palm oil and crude oil markets

An analysis of price and volatility transmission in butter, palm oil and crude oil markets Bergmann et al. Agricultural and Food Economics (2016) 4:23 DOI 10.1186/s40100-016-0067-4 Agricultural and Food Economics RESEARCH An analysis of price and volatility transmission in butter, palm oil and

More information

Port Botany. Trade Statistics Bulletin 1 July June 2018

Port Botany. Trade Statistics Bulletin 1 July June 2018 Port Botany Trade Statistics Bulletin 1 July 2017 30 June 2018 FY 2017/18 Port Botany Container Trade Jul 2017 Aug 2017 Sep 2017 Oct 2017 Nov 2017 Dec 2017 Jan 2018 Feb 2018 Mar 2018 Apr 2018 May 2018

More information

5. CONSTRUCTION OF THE WEIGHT-FOR-LENGTH AND WEIGHT-FOR- HEIGHT STANDARDS

5. CONSTRUCTION OF THE WEIGHT-FOR-LENGTH AND WEIGHT-FOR- HEIGHT STANDARDS 5. CONSTRUCTION OF THE WEIGHT-FOR-LENGTH AND WEIGHT-FOR- HEIGHT STANDARDS 5.1 Indicator-specific methodology The construction of the weight-for-length (45 to 110 cm) and weight-for-height (65 to 120 cm)

More information

female male help("predict") yhat age

female male help(predict) yhat age 30 40 50 60 70 female male 1.0 help("predict") 0.5 yhat 0.0 0.5 1.0 30 40 50 60 70 age 30 40 50 60 70 1.5 1.0 female male help("predict") 0.5 yhat 0.0 0.5 1.0 1.5 30 40 50 60 70 age 2 Wald Statistics Response:

More information

Climatography of the United States No

Climatography of the United States No Climate Division: CA 5 NWS Call Sign: Month (1) Min (2) Month(1) Extremes Lowest (2) Temperature ( F) Lowest Month(1) Degree s (1) Base Temp 65 Heating Cooling 100 Number of s (3) Jan 45.9 26.0 36.0 67

More information

Lampiran 1 Tabel 3.1 Sampel No. Kode Nama Perusahaan Sumber : didownload tanggal 13 November 2016 (data diolah)

Lampiran 1 Tabel 3.1 Sampel No. Kode Nama Perusahaan Sumber :  didownload tanggal 13 November 2016 (data diolah) 72 Lampiran 1 Tabel 3.1 Sampel No. Kode Nama Perusahaan 1 ALKA PT. Alakasa Industrindo Tbk 2 BIMA PT. Primarindo Asia Infrastructure Tbk 3 BRNA PT. Berlina Tbk 4 ETWA PT. Eterindo Wahanatama Tbk 5 FASW

More information

Growth cycles in Industrial production (IIP) (percentage deviation from trend*, seasonally adjusted) Sep 88 Sep 94. Dec 96. Mar 96

Growth cycles in Industrial production (IIP) (percentage deviation from trend*, seasonally adjusted) Sep 88 Sep 94. Dec 96. Mar 96 China The reference series The reference series used for constructing OECD Composite Leading (CLI) for China is the monthly index of industrial production (IIP). The IIP series starts in 1978, it is timely

More information

PARTIAL LEAST SQUARES: APPLICATION IN CLASSIFICATION AND MULTIVARIABLE PROCESS DYNAMICS IDENTIFICATION

PARTIAL LEAST SQUARES: APPLICATION IN CLASSIFICATION AND MULTIVARIABLE PROCESS DYNAMICS IDENTIFICATION PARIAL LEAS SQUARES: APPLICAION IN CLASSIFICAION AND MULIVARIABLE PROCESS DYNAMICS IDENIFICAION Seshu K. Damarla Department of Chemical Engineering National Institute of echnology, Rourkela, India E-mail:

More information

National Routing Number Administration p-ani Activity and Projected Exhaust Report

National Routing Number Administration p-ani Activity and Projected Exhaust Report National Routing Number Administration 2016 p-ani Activity and Projected Exhaust Report The ATIS Industry Numbering Committee developed the P-ANI Administration Guidelines, which contain the following

More information

ANCR CRU Statistics Februa.. to December 2007

ANCR CRU Statistics Februa.. to December 2007 ANCR CRU Statistics Februa.. to December 2007 Jan/07 Feb/07* Mar/07 Apr/07 May/07 Jun/07 Jul/07 Aug/07 Sep/07 Oct/07 Nov/07 Dec/07 Total notes Answered dato from Perimeter phone system unavailable prior

More information

Basic SAS and R for HLM

Basic SAS and R for HLM Basic SAS and R for HLM Edps/Psych/Soc 589 Carolyn J. Anderson Department of Educational Psychology c Board of Trustees, University of Illinois Spring 2019 Overview The following will be demonstrated in

More information

Assignment 3 solutions

Assignment 3 solutions Assignment 3 solutions Question 1: SVM on the OJ data (a) [2 points] Create a training set containing a random sample of 800 observations, and a test set containing the remaining observations. library(islr)

More information

Climatography of the United States No

Climatography of the United States No Climate Division: WY 9 NWS Call Sign: LND Temperature ( F) Month (1) Min (2) Month(1) Extremes Lowest (2) Lowest Month(1) Degree s (1) Base Temp 65 Heating Cooling 100 Number of s (3) Jan 31.9 8.7 20.3

More information

LAMPIRAN A. Tabulasi Data Perusahaan Sample

LAMPIRAN A. Tabulasi Data Perusahaan Sample LAMPIRAN A Tabulasi Data Perusahaan Sample Current Ratio (%) NO Kode Emiten Nama Perusahaan ASII Astra International Tbk. 2 AUTO Astra Otoparts Tbk. 3 BATA Sepatu Bata Tbk. 4 BRAM Indo Kordsa Tbk 5 BRNA

More information

Port Botany. Trade Statistics Bulletin 1 July April 2018

Port Botany. Trade Statistics Bulletin 1 July April 2018 Port Botany Trade Statistics Bulletin 1 July 2017 30 April 2018 YTD April 2018 Port Botany Container Trade Jul 2017 Aug 2017 Sep 2017 Oct 2017 Nov 2017 Dec 2017 Jan 2018 Feb 2018 Mar 2018 Apr 2018 Export

More information

University of Michigan Eco-Driving Index (EDI) Latest data: October 2017

University of Michigan Eco-Driving Index (EDI)   Latest data: October 2017 University of Michigan Eco-Driving Index () http://www.ecodrivingindex.org Latest data: October 2017 Developed and issued monthly by Michael Sivak and Brandon Schoettle Sustainable Worldwide Transportation

More information

WIM #37 was operational for the entire month of September Volume was computed using all monthly data.

WIM #37 was operational for the entire month of September Volume was computed using all monthly data. SEPTEMBER 2016 WIM Site Location WIM #37 is located on I-94 near Otsego in Wright county. The WIM is located only on the westbound (WB) side of I-94, meaning that all data mentioned in this report pertains

More information

NJ Solar Market Update As of 2/29/16

NJ Solar Market Update As of 2/29/16 NJ Solar Market Update As of 2/29/16 Prepared by Charlie Garrison March 24, 2016 SOLAR INSTALLED CAPACITY DATA The installed solar capacity as of 2/29/16 is approximately 1,644.3 MW. Approximately 20.3

More information

UPDATE ON THE LHC MAIN MAGNETS. Lucio Rossi CERN - LHC MAC 15

UPDATE ON THE LHC MAIN MAGNETS. Lucio Rossi CERN - LHC MAC 15 UPDATE ON THE LHC MAIN MAGNETS Lucio Rossi CERN - LHC MAC 15 Content Cable Components Production of dipoles and learing curves Fiedl quality Collared cois CM production Results and Delivery Plan for dipoles

More information

LECTURE 6: HETEROSKEDASTICITY

LECTURE 6: HETEROSKEDASTICITY LECTURE 6: HETEROSKEDASTICITY Summary of MLR Assumptions 2 MLR.1 (linear in parameters) MLR.2 (random sampling) the basic framework (we have to start somewhere) MLR.3 (no perfect collinearity) a technical

More information

The Pass-Through of RIN Prices to Wholesale and Retail Fuels under the Renewable Fuel Standard

The Pass-Through of RIN Prices to Wholesale and Retail Fuels under the Renewable Fuel Standard The Pass-Through of RIN Prices to Wholesale and Retail Fuels under the Renewable Fuel Standard July 2015 Christopher R. Knittel Sloan School of Management, MIT Center for Energy and Environmental Policy

More information

LAMPIRAN I Data Perusahaan Sampel kode DPS EPS Ekuitas akpi ,97 51,04 40,

LAMPIRAN I Data Perusahaan Sampel kode DPS EPS Ekuitas akpi ,97 51,04 40, LAMPIRAN I Data Perusahaan Sampel kode DPS EPS Ekuitas 2013 2014 2015 2013 2014 2015 2013 2014 2015 akpi 34 8 9 50,97 51,04 40,67 1.029.336.000.000 1.035.846.000.000 1.107.566.000.000 asii 216 216 177

More information

Lampiran 1. Daftar Sampel Perusahaan

Lampiran 1. Daftar Sampel Perusahaan Lampiran 1. Daftar Sampel Perusahaan NO. KODE NAMA PERUSAHAAN 1 ARNA Arwana Citramulia Tbk. 2 ASII Astra Internastional Tbk. 3 AUTO Astra otoparts Tbk. 4 BTON Betonjaya Manunggal Tbk 5 DVLA Darya-Varia

More information

Up and Down Months of the Stock Market

Up and Down Months of the Stock Market Up and Down Months of the Stock Market 1926-2017 Positive years (66) in the stock market were not good all year long and losing years (24) were not losers throughout the year. Winning years produce losing

More information

Motor Trend Yvette Winton September 1, 2016

Motor Trend Yvette Winton September 1, 2016 Motor Trend Yvette Winton September 1, 2016 Executive Summary Objective In this analysis, the relationship between a set of variables and miles per gallon (MPG) (outcome) is explored from a data set of

More information

US biofuel Indicators and a changing market dynamic

US biofuel Indicators and a changing market dynamic US biofuel Indicators and a changing market dynamic Seth Meyer AMIS October 1-2, 13, Rome Movement of Ag and Energy Ethanol production and capacity 16 35 Crude oil and maize prices 14 3 billion gallons

More information

Meeting product specifications

Meeting product specifications Optimisation of a diesel hydrotreating unit A model based on operating data is used to meet sulphur product specifications at lower DHT reactor temperatures with longer catalyst life Jose Bird Valero Energy

More information