Below is IBM SPSS output of a multiple linear regression. Which of the following is a correct statement? Model Summary Adjusted R Std. Error of the Maciel R R Square uare Estimate 1 2r4* OTS A058 483 a. Predictors: (Constant), Political skill, Valued at Work ANOVA Model Sum of Squares df Mean Square F Sig. 1 Regression 2.091 2 1.046 4.491 | O1a Residual 25.847 11 233 Total 27.939 113 a. Dependent Variable: Likely to leave this workplace in next 12 months b. Predictors: (Constant), Political skill, Valued at Work Coefficients Unsiandardized Standardized 95.0% Confidence interval for Coefficients Coefficients B Model BS Error Beta tig. Lower Bound Upper Bound 1 (Constant) | =049 183 270 7B =A12 413 Valued at Work 045 0400 103 1.4122 264 =.034 124 Political skill 105 039 248 2.717 -O08 029 182 a, Dependent Variable: Likely to leave this workplace in next 12 months (@) 7.5% of the variance in the dependent variable is accounted for by the combined effect of the two independent variables. ) The regression model is not statistically significant. ) Valued at work is stronger than political skill in explaining variance in the dependent variable. ) Aone-unit increase in political skill predicts a 2.717-point increase in the dependent variable