Business > CASE STUDY > C797_Practice_Questions.docx C797 Practice Questions 1.Multiple linear regression models (All)
C797_Practice_Questions.docx C797 Practice Questions 1.Multiple linear regression models
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C797_Practice_Questions.docx C797 Practice Questions 1.Multiple linear regression models are best used with a.a dichotomous dependent variable. b.any ratio-level variable. c.a normally distribute... d ratio-level variable. d.all of the above. 2.The unadjusted regression coefficients (bs) in a multiple linear regression model give information about a.the strongest predictor of the dependent variable. b.the change in the dependent variable per unit increase in the independent variable. c.the adjusted odds of having the condition represented by the dependent variable given that the independent variable is present. d.a and b only. 3.The adjusted regression coefficient in a multiple linear regression contains information about a.the strongest predictor of the dependent variable. b.the change in the dependent variable per unit increase in the independent variable. c.the adjusted odds of having the condition represented by the dependent variable given that the independent variable is present. d.a and b only. 4.The coefficient of determination in a multiple linear regression contains information about a.the strongest predictor of the dependent variable. b.the change in the dependent variable per unit increase in the independent variable. c.the adjusted odds of having the condition represented by the dependent variable given that the independent variable is present. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .. . . . . .. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .. . .. .. . . . . . . . . . . . . . . . . . .. . . . . [Show More]
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