The SAS System 1 17:01 Wednesday, July 1, 2009 Obs sex shintyou taijyuu kyoui jitaku kodukai carryer tsuuwa 1 F 145.0 38.0 . J 10000 . 2 F 146.7 41.0 85 J 10000 Vodafone 6000 3 F 148.0 42.0 . J 50000 . 4 F 148.0 43.0 80 J 50000 DoCoMo 4000 5 F 149.0 45.0 . G 60000 . 6 F 150.0 46.0 86 40000 . 7 F 151.0 45.0 . J 20000 docomo 5000 8 F 151.0 50.0 . G 60000 J-PHONE . 9 F 151.7 41.5 80 J 35000 . 10 F 152.0 35.0 77 J 60000 DoCoMo 2000 The SAS System 2 17:01 Wednesday, July 1, 2009 The REG Procedure Model: MODEL1 Dependent Variable: taijyuu Number of Observations Read 345 Number of Observations Used 345 Analysis of Variance Sum of Mean Source DF Squares Square F Value Pr > F Model 1 13606 13606 400.87 <.0001 Error 343 11642 33.94150 Corrected Total 344 25248 Root MSE 5.82593 R-Square 0.5389 Dependent Mean 58.54638 Adj R-Sq 0.5376 Coeff Var 9.95097 The SAS System 3 17:01 Wednesday, July 1, 2009 The REG Procedure Model: MODEL1 Dependent Variable: taijyuu Parameter Estimates Parameter Standard Variable DF Estimate Error t Value Pr > |t| Intercept 1 -71.56329 6.50601 -11.00 <.0001 shintyou 1 0.77140 0.03853 20.02 <.0001 The SAS System 4 17:01 Wednesday, July 1, 2009 s h t k c i a j o a t r n i k i d r s p e t j y t u r u r s O s y y o a k y u e i b e o u u k a e w d d s x u u i u i r a 1 1 1 F 145.0 38.0 . J 10000 . 40.2893 -2.2893 2 F 146.7 41.0 85 J 10000 Vodafone 6000 41.6007 -0.6007 3 F 148.0 42.0 . J 50000 . 42.6035 -0.6035 4 F 148.0 43.0 80 J 50000 DoCoMo 4000 42.6035 0.3965 5 F 149.0 45.0 . G 60000 . 43.3749 1.6251 6 F 150.0 46.0 86 40000 . 44.1463 1.8537 7 F 151.0 45.0 . J 20000 docomo 5000 44.9177 0.0823 8 F 151.0 50.0 . G 60000 J-PHONE . 44.9177 5.0823 9 F 151.7 41.5 80 J 35000 . 45.4577 -3.9577 10 F 152.0 35.0 77 J 60000 DoCoMo 2000 45.6891 -10.6891 11 F 152.0 43.0 . J 20000 au 3500 45.6891 -2.6891 12 F 152.0 44.0 . 45000 DoCoMo 4000 45.6891 -1.6891 13 F 152.0 45.8 . G 40000 au 2500 45.6891 0.1109 14 F 153.0 41.0 . J 125000 No . 46.4605 -5.4605 15 F 153.0 42.0 . G 0 Vodafone 1000 46.4605 -4.4605 The SAS System 5 17:01 Wednesday, July 1, 2009 Plot of taijyuu*shintyou. Legend: A = 1 obs, B = 2 obs, etc. taijyuu | 100 + | | | 80 + A A A B A A | B AAA A B A AA A | A AABE DBC A B H B BB | BB B DAHBBABBDDC BCFAA A 60 + A AAAB BAAAC DBKFK IFCDD C AAA A A | A B FBA A ECH HDEGDABBDAA A | A A CFA CDF D EBCDC B AAA A | AAAAC BB BB BAB C A A 40 + A A A A B B | A | | 20 + | --+-----------+-----------+-----------+-----------+-----------+- 140 150 160 170 180 190 shintyou The SAS System 6 17:01 Wednesday, July 1, 2009 Plot of pred1*taijyuu. Legend: A = 1 obs, B = 2 obs, etc. 80 + | | | A pred1 | A B B A | BA AA B A | A AAAA CBCBAB GA AA A | A B AABA FBBBACBCC A AA ABA | A BBBBACAHDHBBBA DACAB A A 60 + A ABBBDBD IAEDBCA A AA AA A | A DCDEECCBA CA EA A AA | AE ABAABD AB A ABA A A | BB ACEC A C B | BBABEDAAAAC A AA | BAAAA DBCA A A A | A AAAB CA A A | A BA A | AAA 40 + A ---+---------+---------+---------+---------+---------+---------+-- 30 40 50 60 70 80 90 taijyuu The SAS System 7 17:01 Wednesday, July 1, 2009 Plot of resid1*pred1. Legend: A = 1 obs, B = 2 obs, etc. 40 + | | | | R | A e 20 + A s | B A i | A A AAA AA BA d | A A A AA AABDA A AA A u | A A ABABAA BCABAACBA A A a | A A A A CA AAAACAFCBBACBBAAG A l 0 +----ABA-AAABBFACABBDA-CBDCCIFHDCDBBBBA-B--A-------------- | A CA ABABCF AEBBBGDDCECFDCCD AF A AA | A BA B CA CAABABCDB AB C C A | A CA AA BC A AA | A A A | -20 + ---+------------+------------+------------+------------+-- 40 50 60 70 80 Predicted Value of taijyuu The SAS System 8 17:01 Wednesday, July 1, 2009 Plot of resid1*shintyou. Legend: A = 1 obs, B = 2 obs, etc. 40 + | | | | R | A e 20 + A s | B A i | A A AAA A A B A d | A A A AA AABD A A A A A u | A A BAA BAA B CABAA CBA A A a | A A A A D AAAA CAHABAAACBB B G A l 0 +----------A-BA-AA-BABFA-CABBD-A-CBD-EAIFH-DDCBB-BBA-B---A-------- | A C AA BA BDE A EBBBG DDDDC GCCCD AF A AA | A BA B C A CAA C BCDAA AB C AB A | A CA AA BC A A A | A A A | -20 + ---+-----------+-----------+-----------+-----------+-----------+-- 140 150 160 170 180 190 shintyou The SAS System 9 17:01 Wednesday, July 1, 2009 Plot of resid1*taijyuu. Legend: A = 1 obs, B = 2 obs, etc. 40 + | | | | R | A e 20 + A s | AA A i | A A AB BC d | A A A AA AACBB AB A u | A B AC AAAGB DAB AA a | A AA AAC B B EEDCBCD GAA l 0 +-------------AAA-BCADDDADD-EBDFBJEKDADCAA-B-A-------------------- | A BACACABCDEDCFGGCDAMBBCCB B | ABA BBBC A DEBBBBBABA A A | A AC B BBAA AA | A A A | -20 + ---+---------+---------+---------+---------+---------+---------+-- 30 40 50 60 70 80 90 taijyuu The SAS System 10 17:01 Wednesday, July 1, 2009 The UNIVARIATE Procedure Variable: resid1 (Residual) Moments N 345 Sum Weights 345 Mean 0 Sum Observations 0 Std Deviation 5.81745961 Variance 33.8428363 Skewness 0.68776208 Kurtosis 0.73995652 Uncorrected SS 11641.9357 Corrected SS 11641.9357 Coeff Variation . Std Error Mean 0.3132015 Basic Statistical Measures Location Variability Mean 0.00000 Std Deviation 5.81746 Median -0.71725 Variance 33.84284 Mode 0.42576 Range 35.74214 Interquartile Range 6.88515 NOTE: The mode displayed is the smallest of 2 modes with a count of 6. The SAS System 11 17:01 Wednesday, July 1, 2009 The UNIVARIATE Procedure Variable: resid1 (Residual) Tests for Location: Mu0=0 Test -Statistic- -----p Value------ Student's t t 0 Pr > |t| 1.0000 Sign M -16.5 Pr >= |M| 0.0848 Signed Rank S -2421.5 Pr >= |S| 0.1919 Tests for Normality Test --Statistic--- -----p Value------ Shapiro-Wilk W 0.971117 Pr < W <0.0001 Kolmogorov-Smirnov D 0.084192 Pr > D <0.0100 Cramer-von Mises W-Sq 0.503927 Pr > W-Sq <0.0050 Anderson-Darling A-Sq 2.897541 Pr > A-Sq <0.0050 The SAS System 12 17:01 Wednesday, July 1, 2009 The UNIVARIATE Procedure Variable: resid1 (Residual) Quantiles (Definition 5) Quantile Estimate 100% Max 22.28275 99% 15.96856 95% 10.65437 90% 7.82554 75% Q3 2.99672 50% Median -0.71725 25% Q1 -3.88843 10% -6.77467 5% -8.43122 1% -11.11703 0% Min -13.45939 The SAS System 13 17:01 Wednesday, July 1, 2009 The UNIVARIATE Procedure Variable: resid1 (Residual) Extreme Observations ------Lowest----- -----Highest----- Value Obs Value Obs -13.4594 345 15.5688 280 -13.4312 263 15.9686 147 -12.6739 330 16.9686 148 -11.1170 209 18.4258 184 -10.6891 10 22.2828 106 The SAS System 14 17:01 Wednesday, July 1, 2009 The UNIVARIATE Procedure Variable: resid1 (Residual) Histogram # Boxplot 23+* 1 0 . .* 1 0 .* 1 0 .*** 6 0 .*** 6 0 .**** 7 | .****** 12 | .********** 20 | 5+******* 14 | .****************** 36 +-----+ .************************** 52 | + | .*************************** 54 *-----* .************************** 52 +-----+ .***************** 34 | .************** 27 | .******* 14 | .*** 5 | -13+** 3 | ----+----+----+----+----+-- * may represent up to 2 counts The SAS System 15 17:01 Wednesday, July 1, 2009 The UNIVARIATE Procedure Variable: resid1 (Residual) Normal Probability Plot 23+ * | | * | * | **** + | *** ++++ | ***+++ | ***++ | **** 5+ ++** | +**** | +***** | ***** | ***** | ***** | ***** | ******+ | ****++ -13+**+++ +----+----+----+----+----+----+----+----+----+----+ -2 -1 0 +1 +2