Descriptive Statistics

N Range Minimum Maximum Sum Mean Std. Deviation Variance

Statistic Statistic Statistic Statistic Statistic Statistic Std. Error Statistic Statistic

Y 70 14,00 21,00 35,00 1823,00 26,0429 ,42414 3,54857 12,592

X1 70 10,00 18,00 28,00 1563,00 22,3286 ,28686 2,40001 5,760

X2 70 13,00 19,00 32,00 1652,00 23,6000 ,37211 3,11332 9,693

X3 70 9,00 15,00 24,00 1324,00 18,9143 ,27508 2,30150 5,297

Valid N (listwise) 70

Tests of Normality

Kolmogorov-Smirnova Shapiro-Wilk

Statistic df Sig. Statistic df Sig.

Unstandardized Residual ,079 70 ,200* ,973 70 ,136

*. This is a lower bound of the true significance.

a. Lilliefors Significance Correction

Descriptive Statistics

Mean Std. Deviation N

Y 26,0429 3,54857 70

X1 22,3286 2,40001 70

X2 23,6000 3,11332 70

X3 18,9143 2,30150 70

Correlations

Y X1 X2 X3

Pearson Correlation

Y 1,000 ,771 ,886 ,492

X1 ,771 1,000 ,569 ,449

X2 ,886 ,569 1,000 ,363

X3 ,492 ,449 ,363 1,000

Sig. (1-tailed) Y . ,000 ,000 ,000

X1 ,000 . ,000 ,000

X2 ,000 ,000 . ,001

X3 ,000 ,000 ,001 .

N

Y 70 70 70 70

X1 70 70 70 70

X2 70 70 70 70

X3 70 70 70 70

Variables Entered/Removeda

Model Variables Entered Variables

Removed

Method

1 X3, X2, X1b . Enter

a. Dependent Variable: Y

b. All requested variables entered.

Model Summaryb

Model R R Square Adjusted R

Square

Std. Error of the

Estimate

Change Statistics Durbin-Watson

R Square Change F Change df1 df2 Sig. F Change

1 ,947a ,897 ,893 1,16343 ,897 191,972 3 66 ,000 1,947

a. Predictors: (Constant), X3, X2, X1

b. Dependent Variable: Y

ANOVAa

Model Sum of Squares df Mean Square F Sig.

1

Regression 779,536 3 259,845 191,972 ,000b

Residual 89,335 66 1,354

Total 868,871 69

a. Dependent Variable: Y

b. Predictors: (Constant), X3, X2, X1

Coefficientsa

Model Unstandardized Coefficients Standardized

Coefficients

t Sig. Collinearity Statistics

B Std. Error Beta Tolerance VIF

1

(Constant) -6,027 1,486 -4,055 ,000

X1 ,533 ,075 ,361 7,133 ,000 ,609 1,642

X2 ,736 ,055 ,646 13,314 ,000 ,662 1,511

X3 ,147 ,069 ,096 2,140 ,036 ,781 1,280

a. Dependent Variable: Y

Collinearity Diagnosticsa

Model Dimension Eigenvalue Condition Index Variance Proportions

(Constant) X1 X2 X3

1

1 3,978 1,000 ,00 ,00 ,00 ,00

2 ,010 19,703 ,04 ,01 ,58 ,45

3 ,007 23,764 ,66 ,03 ,16 ,54

4 ,005 28,117 ,30 ,96 ,26 ,02

a. Dependent Variable: Y

Residuals Statisticsa

Minimum Maximum Mean Std. Deviation N

Predicted Value 20,5991 33,4256 26,0429 3,36119 70

Std. Predicted Value -1,620 2,196 ,000 1,000 70

Standard Error of Predicted

Value,156 ,442 ,265 ,085 70

Adjusted Predicted Value 20,5214 33,1782 26,0486 3,33524 70

Residual -3,18816 2,13864 ,00000 1,13785 70

Std. Residual -2,740 1,838 ,000 ,978 70

Stud. Residual -2,941 1,964 -,002 1,023 70

Deleted Residual -3,67144 2,44252 -,00579 1,24531 70

Stud. Deleted Residual -3,131 2,009 -,007 1,042 70

Mahal. Distance ,263 8,970 2,957 2,559 70

Cook's Distance ,000 ,328 ,025 ,050 70

Centered Leverage Value ,004 ,130 ,043 ,037 70

a. Dependent Variable: Y