Statistical Methods for Psychology

585

YX1X2X3

Pearson Correlation Y 1.000 .239 –.191 –.526

X1 .239 1.000 .500 .500

X2 –.191 .500 1.000 .500

X3 –.526 .500 .500 1.000

Correlations

Adjusted Std. Error of

Model R R Square R Square the Estimate

1 .791(a) .626 .485 1.848

Model Summary

aPredictors: (Constant), X3, X2, X1

Unstandardized Standardized

Model Coefficients Coefficients t Sig.

B Std. Error Beta

1 (Constant) 5.500 .534 10.307 .000

X1 2.500 .924 .717 2.705 .027

X2 –.500 .924 –.143 –.541 .603

X3 –2.833 .924 –.812 –3.066 .015

Coefficients(a)

aDependent Variable: Y

Exhibit 16.1 SPSS regression analysis of data in Table 16.1

(continues)