M ULTIPLE - R EGRESI. Kuliah Umum Aplikasi Statistika untuk Memperkuat Stabilitas Ekonomi dan Keuangan Program Studi S1 Statistika.
Tugas 1 : Diagnostik Check Pada Multiple Regression.
abstract. 736 Table 3 Feedback from Case Coach simulation model R. Suikki et / Technovanon 26 (20«,) 723-738 Date 11- 11.09.2(W2 26.11.2(W2 03.12.2(W2 10.02.2003 06.05.2003 Average General grade 4.50a 4.79 4.75 5.08 5.08 4.77 4.93 5.25 5.18 4.82 4.82 4.78 5.08 5.30 5.45 5.30 5.30 5.01 a Scale is 1—6; 1 = Did the training answer the 4.5 4.5 4.50 5.09 5.08 5.08 4.67 5.13 4.79 5.17 4.91 5.00 4.89 5.08 4.91 5.20 5.09 4.92 Were the targets presented clearly? 4.5 4.5 4.82 4.92 4.92 4.54 4.50 4.92 5.36 4.82 4.82 4.89 4.92 4.91 4.78 Did the training reach its goals? 4.5 4.93 4.75 4.85 4.71 5.27 4.73 4.73 4.89 5.27 5.50 5.18 4.96 What is your opinion of the training material? 4.5 4.33 4.36 4.69 4.81 4.36 4.50 4.40 4.09 4.56 4.10 4.40 4.55 4.51 Average 4.50 4.61 4.42 4.85 5.02 5.02 4.70 4.66 4.97 5.02 4.69 4.69 4.80 5.02 4.84 4.91 5.16 5.01 4.84.
D ATA. Y X 1 X 2 X 3 X 4 Average 1 12/12/2001 4,50 4,50 4,50 4,50 4,50 4,50 2 29/01/2002 4,79 4,50 4,50 4,93 4,33 4,61 3 24/02/2002 4,75 4,50 4,08 4,75 4,00 4,42 4 19/08/2002 5,00 5,09 4,82 5,00 4,36 4,85 5 11/09/2002 5,08 5,08 4,92 5,00 5,00 5,02 6 01/10/2002 5,08 5,08 4,92 5,00 5,00 5,02 7 26/11/2002 4,77 4,67 4,54 4,85 4,69 4,70 8 03/12/2002 5,00 5,13 5,06 5,00 4,81 5,00 9 10/02/2003 4,93 4,79 4,50 4,71 4,36 4,66 10 18/03/2003 5,25 5,17 4,92 5,00 4,50 4,97 11 22/04/2003 5,18 4,91 5,36 5,27 4,40 5,02 12 06/05/2003 4,82 5,00 4,82 4,73 4,09 4,69 13 12/05/2003 4,82 5,00 4,82 4,73 4,09 4,69 14 16/06/2003 4,78 4,89 4,89 4,89 4,56 4,80 15 11/09/2003 5,08 5,08 4,92 5,00 5,00 5,02 16 24/09/2003 5,30 4,90 4,90 5,00 4,10 4,84 17 14/10/2003 5,45 4,91 4,50 5,27 4,40 4,91 18 22/10/2003 5,30 5,20 4,90 5,50 4,90 5,16 19 25/05/2004 5,30 5,09 4,91 5,18 4,55 5,01 Data 19 19 19 19 19 19 Sum 95,18 93,49 90,78 94,31 85,64 91,88 Mean 5,01 4,92 4,78 4,96 4,51 4,84 Maximum 5,45 5,20 5,36 5,50 5,00 5,16 Minimum 4,50 4,50 4,08 4,50 4,00 4,42 Standard Deviasi 0,2486 0,2288 0,2806 0,2339 0,3233 0,2039.
P ERMODELAN M ULTIPLE R EGRESION. Home Paste 134 = excellent. Insert Draw Page Layout Formulas Data Review View LÉ Share 10 11 12 13 15 16 17 18 19 Sum Mean Calibri (Body) 12/12/2001 29m 1/2002 24/02/2002 19/08/2002 1 1 '09/2002 01/10/2002 26/1 1/2002 03/12/2002 10102/2003 18,03/2003 22/04/2003 06/05/2003 12105/2003 16/06/2003 11'09,'2003 24109/2003 14/10/2003 22/10/2003 25/05/04 Tell me Wrap Text v Merge & Center v General Data Analysis Conditional Format tirvg Format as Table cell Styles Insert Delete Format sort & Filter Comments Analyze 4,50 4.79 4,75 5,00 5.08 4.77 5,00 4,93 5.25 5,18 482 4.82 4,78 5,08 5.30 5,45 5.30 5,30 95,18 5,01 5.45 4,50 0.2486 4.67 5,13 4,79 5.17 4,91 4,89 4,91 5.20 93,49 4,92 5.20 4,50 0.2288 4,50 4.50 4,08 4,82 4.54 5,06 4,50 4,92 5,36 482 4.82 4,89 4,92 4,50 4.90 90,78 4,78 5.36 0.2806 Analysis Tools Regression Sampling t-Test: Paired Two Sample for Means • Two-Sample Assuming Equal Variances Cancel 5.08 5.08 4.67 5.13 5.17 sog 26 (2006) 723-738 4,75 4,71 5,27 4,73 4.73 4,89 5,27 5,18 94,31 4,96 5.50 4,50 0.2339 t-Test. t-Test. • Two-Sample Assuming unequal Variances TWO Sample for Means z-Test: thc targets clearly? 4,40 4,09 4.09 4,56 5,00 410 4,40 4.90 4,55 4,51 5.00 4,00 0.3233 5,02 4,69 4.69 5,02 4,91 5.16 5,01 91,88 434 5.16 4,42 0.2 24.02 _um 1908.21m 26.11.2(m 03.12.2002 1002 2201.2003 12.05.2(XJ3 24.09.2m3 22.10.2(XJ3 2505.211M Average Scale is 1—6; I = 5.18 Did training reach its goals? 4.93 4_7S 4_73 5.18 What is your opinion of the training material? 4.10 Find & Select Average 4.42 5.16 Maximum Minimum ndard Deviasi Genera I XI X2 X4 Did the training answer the pursx»se? Where the targets presented dearly? DiS the training reach its goals? Whats is your opinion of the training material?.
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O UT PUT. MEDIAN NI (Diatas Media n) (Dibawah Media n) rta bel Hasil 5 11 8 3 Ditolak 5 10 3 Ditolak 5 2 17 4 Ditolak 5 11 8 3 Ditolak 5 3 16 3 Ditolak.
O UTOCORRELATION. RESIDUAL OUTPUT Observation Predicted Y Residuals Standard Residuals e i-1 (ei-ei-1)2 ( e i )2 1 4,481544582 0,018455418 0,167002160 2 4,850263132 -0,060263132 -0,545318085 0,018455418 0,006196610 0,003631645 3 4,814712890 -0,064712890 -0,585583723 -0,060263132 0,000019800 0,004187758 4 5,134019847 -0,134019847 -1,212738936 -0,064712890 0,004803454 0,017961320 5 5,020686607 0,059313393 0,536723942 -0,134019847 0,037377742 0,003518079 6 5,020686607 0,059313393 0,536723942 0,059313393 0,000000000 0,003518079 7 4,807536701 -0,037536701 -0,339667737 0,059313393 0,009379941 0,001409004 8 5,052384724 -0,052384724 -0,474026759 -0,037536701 0,000220464 0,002744159 9 4,806498086 0,123501914 1,117562680 -0,052384724 0,030936109 0,015252723 10 5,136818887 0,113181113 1,024170268 0,123501914 0,000106519 0,012809964 11 5,182547167 -0,002547167 -0,023049189 0,113181113 0,013393035 0,000006488 12 4,915735769 -0,095735769 -0,866308214 -0,002547167 0,008684116 0,009165337 13 4,915735769 -0,095735769 -0,866308214 -0,095735769 0,000000000 0,009165337 14 4,912548133 -0,132548133 -1,199421466 -0,095735769 0,001355150 0,017569008 15 5,020686607 0,059313393 0,536723942 -0,132548133 0,036810845 0,003518079 16 5,071617304 0,228382696 2,066623661 0,059313393 0,028584429 0,052158656 17 5,304591304 0,145408696 1,315796063 0,228382696 0,006884685 0,021143689 18 5,494327020 -0,194327020 -1,758455538 0,145408696 0,115420357 0,037762991 19 5,237058865 0,062941135 0,569551203 -0,194327020 0,066186904 0,003961587 N 19 19 19 18 Sum 0 (0,06294114) 0,36636016 0,21948390 Mean 0,000000000 -0,003496730 0,020353342 0,012193550 Std. Dev 0,110510056 0,112627138 0,029927063 0,013733664 Autokorelasi 0,158260201.
Tabel Durbin-watson a - 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 dL 0.6102 o .6996 0.7629 0.8243 0.8791 0.9273 0.9708 10450 10770 1.1330 1.1576 1.1804 12015 12212 12395 12567 12728 12879 13022 1.3157 1.3284 13405 13520 13564 1.3324 1.3m 1.3197 13241 13314 13404 1.3503 1.3605 1.3709 1.3812 13913 1.4012 1.4107 1.42M) 1.4289 1.4375 1.4458 1.4537 1.4614 1.4688 1 .4759 1.4828 1.4894 dL 0.4672 0.5591 0.6291 0.6972 0.7580 0.8122 0.8612 o.'ÅJS4 0.9455 0.9820 1.01M 10461 10743 1.1246 1.1471 1.1682 1.1878 1.2236 1.2399 1.2553 1.2699 I _2837 1.7771 1.6'»3 1.6413 1.6044 1.5794 1.5621 1.5507 1.5432 1.5386 1.5361 1.5353 1.5355 1.5367 1.5385 1.5408 1.5435 1_5464 1.5495 1.5528 1.5562 1.55% 1.5631 1.5666 0.3674 0.4548 0.5253 0.5948 06577 ().7147 0.7667 0.8140 0.8572 0.8968 0.9331 o. 966k, 0.9976 1.0262 1.0529 1.0778 1.1010 1.1228 1.1432 1.1624 1.1976 12138 2.2866 2.1282 2.0163 1.9280 1.8640 1.8159 1.7788 1.7501 1.7277 1.7101 1_6961 16851 1.6763 1.6694 1.6640 1.6597 1 _6565 I .6523 1.6510 1.6503 1.64'B 16498 0.2957 0.3760 04441 0.5120 0.5745 0.6321 0.6852 0.7340 0.8204 0.8588 0.8943 0.9272 0.9578 0.9864 1.0131 1.0381 1.0836 1.1044 1.1241 1.1426 dtJ 2.5881 2.4137 22833 2.0943 2.02% 1.9774 1.9351 18719 1.8482 1.8283 1.81 16 I. 7974 1.7855 1.7753 1.7666 1.7591 1.7527 1.7473 1.7426 1.7386 dL 0.2427 0.3155 0.37% O. 4445 0.5052 0.5620 0.6150 0.6641 0.7098 0.7523 0.7918 0.82u, 0.8629 0_8949 0.9249 0_9530 0.9794 1.0276 1.0497 1 _0706 dtJ 2.8217 2.6446 23897 22959 22198 2.1567 2.1041 2.0226 1.9196 1.9018 1_8863 1.8727 18608 18502 1.8409 1.8326.
V ARIANS. abstract. vx EX zx.
M ULTI-COLINIERITY. abstract. Hasil : Tidak terdapat Multikolinieritas.
T ERIMAKASIH.