In Exercise 11.2, which variables make a significant contribution to the prediction of Optimism as judged by the test on their slopes?

Exercise 11.2

Sethi and Seligman (1993) examined the relationship between optimism and religious conservatism by interviewing more than 600 subjects from a variety of religious organizations. We can regress Optimism on three variables dealing with religiosity. These are the influence of religion on their daily lives (Rel Inf), their involvement with religion (Rel Invol), and their degree of religious hope (belief in an after-life) (Rel Hope). The results are shown as SPSS printout.

Looking at the preceding printout,

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Model Summary Adjusted Std. Error of Model R R Square R Square the Estimate 321a .103 .099 3.0432 a Predictors: (Constant), relinvol, relinf, relhope ANOVAb Sum of Mean Model Squares df Square F Sig. Regression 634.240 3 211.413 22.828 .000a Residual 5519.754 596 9.261 Total 6153.993 599 a Predictors: (Constant), relinvol, relinf, relhope b Dependent Variable: optimism Coefficients Unstandardized Coefficents Standardized Coefficients Model B Std. Error Beta t Sig. I (Constant) -1.895 .512 -3.702 .000 relhope .428 .102 .199 4.183 .000 relinf .490 .107 .204 4.571 .000 relinvol -.079 .116 2.033 -.682 .495 a * Dependent Variable: optimism