You run a bunch of tests to check the assumptions of a multiple regression with two predictor variables and 100 datapoints. Which one of the following findings would indicate that one of your assumptions was violated?单项选择题
A
A. The VIF between the predictors is 6.78
B
B. A Shapiro-Wilk test on the residuals finds p = .385
C
C. The Cook's Distance for all variables is 0.03 or less
D
D. The slope of the best-fit line for all of the residuals is around zero
E
E. All of these indicate that an assumption was violated
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The dummy variable trap is an example of:
A researcher is considering the following variables as determinants to the variable earnings (Earn): Variable DFemme is a binary variable that takes the value 1 if the individual is a female, and 0 otherwise; Variable DMale is a binary variable that takes on the value 1 if the individual is male, and is 0 otherwise; Variable DMarried is a binary variable that takes on the value 1 for married individuals and is 0 otherwise; Variable DSingle is is a binary variable that takes on the value 1 for unmarried individuals and is 0 otherwise; Variable X is a control variable that has continuous values. The researcher would like to regress logarithmic weekly earnings (Earn) on these explanatory variables. Select ALL models below that do NOT suffer perfect multicollinearity:
A researcher is considering the following variables as determinants to the variable earnings (Earn): Variable DFemme is a binary variable that takes the value 1 if the individual is a female, and 0 otherwise; Variable DMale is a binary variable that takes on the value 1 if the individual is male, and is 0 otherwise; Variable DMarried is a binary variable that takes on the value 1 for married individuals and is 0 otherwise; Variable DSingle is is a binary variable that takes on the value 1 for unmarried individuals and is 0 otherwise; Variable X is a control variable that has continuous values. The researcher would like to regress logarithmic weekly earnings (Earn) on these explanatory variables. Select ALL models below that do NOT suffer perfect multicollinearity:
Choose ALL CORRECT statement(s) about the imperfect multicollinearity:
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