Descriptive Statistics
N Minimum Maximum Mean Std. Deviation
X1 11 32774.19 125931.00 80031.02 30956.68
X2 11 38.79 48.85 43.67 3.06
X3 11 97.82 165.07 121.35 23.59
Y 11 5254.74 9943.64 7650.92 1596.46
Valid N (listwise) 11
Model Summary(b)
Model R R Square
Adjusted R Square
Std. Error of the Estimate
Durbin-Watson
1 .967(a) .934 .906 489.26773 2.133
a Predictors: (Constant), X3, X2, X1 b Dependent Variable: Y
ANOVA(b)
Model Sum of
Squares df Mean Square F Sig. 1 Regression 23811154.281 3 7937051.427 33.156 .000(a)
Residual 1675680.362 7 239382.909
Total 25486834.644 10
a Predictors: (Constant), X3, X2, X1 b Dependent Variable: Y
Coefficients(a)
Model
Unstandardized Coefficients
Standardized
Coefficients t Sig.
Collinearity Statistics
B Std. Error Beta Tolerance VIF
1 (Constant) 2056.679 3131.537 .657 .532
X1 .030 .007 .581 4.132 .004 .475 2.103
X2 139.290 53.200 .267 2.618 .034 .906 1.104
X3
-23.782 9.826 -.351
-2.420 .046 .446 2.244 a Dependent Variable: Y
Regression Standardized Residual
2 1
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Histogram Dependent Variable: Y
Mean =2.91E-15 Std. Dev. =0.837N =11
Observed Cum Prob
1.0 0.8
0.6 0.4
0.2 0.0
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Normal P-P Plot of Regression Standardized Residual Dependent Variable: Y
Regression Studentized Residual
2 1
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Scatterplot Dependent Variable: Y
One-Sample Kolmogorov-Smirnov Test
Unstandardized Predicted Value
N 11
Normal Parameters(a,b) Mean 7650.92
Std. Deviation 1543.09
Most Extreme Differences Absolute .222
Positive .150
Negative -.222
Kolmogorov-Smirnov Z .735
Asymp. Sig. (2-tailed) .652
a Test distribution is Normal. b Calculated from data.
