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1. What does the graph below show? a. Linearity b. Homoscedasticity c. Multicollinearity d. Normality of residuals Ans: D 2. A psychologist was interested in whether the amount of news people watch (minutes per day) predicts how depressed they are (from 0 = not depressed to 7 = very depressed). What does the standardized beta tell us in the output?
3. A psychologist was interested in whether the amount of news people watch predicts how depressed they are. Based on the output, is news exposure a significant predictor of depression? 4. A consumer researcher was interested in what factors influence people's fear responses to horror
films. She measured gender and how much a person is prone to believe in things that are not real (fantasy proneness). Fear responses were measured too. In this table, what does the value 847.685
represent? 5. A psychologist was interested in whether the amount of news people watch predicts how depressed they are. In this table, what does the value 3.030 represent? a. The improvement in the prediction of depression by fitting the model b. The ratio of how much the prediction of depression has improved by fitting the model, compared to how much error still remains c. The ratio of how much error there is in the model, compared to how much variability there is in depression scores d. The proportion of variance in depression explained by news exposure Ans: A