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数据分析实验及答案.doc

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第一章 1.1 Frequencies x N S t a t i s t i c s Valid Missing Mean Median Std. Deviation Variance Skewness Std. Error of Skewness Kurtosis Std. Error of Kurtosis Percentiles 25 50 75 60 0 139.0000 139.0000 7.06387 49.898 -.510 .309 -.126 .608 135.0000 139.0000 144.7500 x Frequency Percent Valid Percent Cumulative Percent 1 1 1 1 2 1 2 3 2 3 1 5 4 5 1 2 6 2 2 2 3 4 1 3 1 1 60 1.7 1.7 1.7 1.7 3.3 1.7 3.3 5.0 3.3 5.0 1.7 8.3 6.7 8.3 1.7 3.3 10.0 3.3 3.3 3.3 5.0 6.7 1.7 5.0 1.7 1.7 100.0 1.7 1.7 1.7 1.7 3.3 1.7 3.3 5.0 3.3 5.0 1.7 8.3 6.7 8.3 1.7 3.3 10.0 3.3 3.3 3.3 5.0 6.7 1.7 5.0 1.7 1.7 100.0 1.7 3.3 5.0 6.7 10.0 11.7 15.0 20.0 23.3 28.3 30.0 38.3 45.0 53.3 55.0 58.3 68.3 71.7 75.0 78.3 83.3 90.0 91.7 96.7 98.3 100.0 Valid 120.00 123.00 126.00 127.00 128.00 129.00 131.00 132.00 134.00 135.00 136.00 137.00 138.00 139.00 140.00 141.00 142.00 143.00 144.00 145.00 146.00 147.00 148.00 149.00 150.00 151.00 Total Explore
C a s e P r o c e s s i n g S u m m a r y Valid Cases Missing Total N 60 Percent 100.0% N Percent N 0 .0% 60 Percent 100.0% H isto g ra m x x y c n e u q e r F 10 8 6 4 2 0 120.00 130.00 140.00 150.00 x x Stem-and-Leaf Plot Stem & Frequency 1.00 Extremes 1.00 5.00 7.00 18.00 13.00 13.00 2.00 12 . 12 . 13 . 13 . 14 . 14 . 15 . Leaf (=<120) 3 67889 1122244 555677777888899999 0112222223344 5566677778999 01 Stem width: Each leaf: 10.00 1 case(s) M ean = 139.00 S td. D ev. = 7.06387 N = 60
150.00 140.00 130.00 120.00 Correlations 42 x C o r r e l a t i o n s x1 x2 x1 x2 x3 x4 x5 x6 Pearson Correlation Sig. (2-tailed) N Pearson Correlation Sig. (2-tailed) N Pearson Correlation Sig. (2-tailed) N Pearson Correlation Sig. (2-tailed) N Pearson Correlation Sig. (2-tailed) N Pearson Correlation Sig. (2-tailed) N 1 20 .870** .000 20 -.366 .113 20 -.390 .089 20 -.493* .027 20 -.226 .337 20 .870** .000 20 1 20 -.353 .127 20 -.552* .012 20 -.646** .002 20 -.191 .419 20 x3 -.366 .113 20 -.353 .127 20 1 20 .151 .526 20 .225 .340 20 .035 .884 20 x4 -.390 .089 20 x5 -.493* .027 20 -.552* -.646** .012 20 .151 .526 20 1 20 .696** .001 20 .496* .026 20 .002 20 .225 .340 20 .696** .001 20 1 20 .669** .001 20 x6 -.226 .337 20 -.191 .419 20 .035 .884 20 .496* .026 20 .669** .001 20 1 20 **. Correlation is significant at the 0.01 level (2-tailed). *. Correlation is significant at the 0.05 level (2-tailed).
Nonparametric Correlations C o r r e l a t i o n s Spearman's rho x1 x2 x3 x4 x5 x6 x1 x3 1.000 . 20 Correlation Coefficient Sig. (2-tailed) N Correlation Coefficient Sig. (2-tailed) N Correlation Coefficient Sig. (2-tailed) N Correlation Coefficient Sig. (2-tailed) N Correlation Coefficient Sig. (2-tailed) N Correlation Coefficient Sig. (2-tailed) N x2 .814** -.371 .000 .108 20 20 -.238 .814** 1.000 .000 . .313 20 20 20 1.000 -.238 -.371 .108 .313 . 20 20 20 .137 -.380 .098 .566 20 20 -.578** -.725** .179 .450 20 .098 .680 20 .008 20 -.199 .400 20 .000 20 -.199 .399 20 .014 20 -.542* x4 x5 x6 .008 20 -.380 .098 20 .000 20 .179 .450 20 .014 20 .137 .566 20 1.000 . 20 -.578** -.199 .400 20 -.542* -.725** -.199 .399 20 .098 .680 20 .656** .323 .002 .165 20 20 .656** 1.000 . .002 20 20 .323 .165 20 .695** .001 20 .695** 1.000 . .001 20 20 **. Correlation is significant at the 0.01 level (2-tailed). *. Correlation is significant at the 0.05 level (2-tailed). 3.5 Regression V a r i a b l e s E n t e r e d / R e m o v e db Variables Variables Model 1 Entered Removed Method xi3, xi2, xi1 a . Enter a. All requested variables entered. b. Dependent Variable: yi M o d e l S u m m a r y Model 1 R .954a R Square .911 Adjusted R Square .897 Std. Error of the Estimate 1.75276 a. Predictors: (Constant), xi3, xi2, xi1
Model 1 Regression Residual Total Sum of Squares 627.817 61.443 689.260 A N O V A b df 3 20 23 a. Predictors: (Constant), xi3, xi2, xi1 b. Dependent Variable: yi Mean Square 209.272 3.072 F 68.119 Sig. .000a C o e f f i c i e n t sa Model 1 Unstandardized Coefficients B (Constant) xi1 xi2 xi3 17.847 1.103 .322 1.289 Std. Error 2.002 .330 .037 .298 Standardized Coefficients Beta .260 .659 .307 t 8.915 3.347 8.664 4.318 Sig. .000 .003 .000 .000 a. Dependent Variable: yi
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