Descriptive Statistics   Mean Std. Deviation N Life satisfaction 7.97 1.194 7817 Job stress 3.16 1.667 7817    Model Summaryb Model R R Square Adjusted R Square Std. Error of the Estimate Change Statistics R Square Change F Change df1 df2 Sig. F Change 1 .228a .052 .052 1.162 .052 427.062 1 7815 .000 a. Predictors: (Constant), Job stress b. Dependent Variable: Life satisfaction    ANOVAa Model Sum of Squares df Mean Square F Sig. 1 Regression 577.130 1 577.130 427.062 .000b Residual 10561.161 7815 1.351     Total 11138.291 7816       a. Dependent Variable: Life satisfaction b. Predictors: (Constant), Job stress    Coefficientsa Model Unstandardized Coefficients Standardized Coefficients t Sig. 95.0% Confidence Interval for B B Std. Error Beta Lower Bound Upper Bound 1 (Constant) 8.485 .028   301.319 .000 8.430 8.541 Job stress -.163 .008 -.228 -20.665 .000 -.178 -.148 a. Dependent Variable: Life satisfaction   Question: Which number is useful in showing how much the independent variable explains the variation in dependent variable?

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