Normal P P Plot Of Regression Standardized Residual Dependent Variable Depression 1 09 0 84 Maillo Expected Cum Prob 0 1 (158.52 KiB) Viewed 117 times
Normal P-P Plot of Regression Standardized Residual Dependent Variable: Depression 1.09 0.84 maillo Expected Cum Prob 0.4 Php200060000 8000 logoscoe 0.24 0.0- 0.0 0.2 0.4 0.6 0.8 1.0 Observed Cum Prob a. Yes, because the p-value for news exposure is .039, which is less than .05. b. Yes, because the confidence interval for news exposure does not contains zero. c. No, because the b-value for news exposure is close to zero d. No, because the confidence interval for news exposure does not contain zero.
A psychologist was interested in whether the amount of news people watch predicts how depressed they are. Based on the output below, is there evidence that a meaningful relationship exists in the population? Coefficients a Standardized 95.0% Confidence Interval for Unstandardized Coefficients Coefficients Collinearity Statistics Model B Std. Error Beta Sig. Lower Bound Upper Bound Tolerance VIF 1 (Constant) 7.241 .784 9.230 .000 5.681 8.801 News Exposure -.026 .012 --224 -2.099 .039 -.050 --001 1.000 1.000 a. Dependent Variable: Depression B t Bootstrap for Coefficients Bootstrap Sig. (2- 95% Confidence Interval Model B Bias Std. Error tailed) Lower Upper 1 (Constant) 7.241 -023 .873 .001 5.652 9.077 News Exposure -.026 .000 .014 .098 -.055 .000 a. Unless otherwise noted, bootstrap results are based on 1000 bootstrap samples
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