Suppose we have hypothesized that even after controlling for variables A and B, variable C will have a significant and strong relationship with a dependent variable. Which method should we use regarding the order in which predictor variables are entered into our multiple regression analysis?
a. The all-possible-subsets method.
b. The hierarchical method.
c. The stepwise method.
d. The partial method.
The standardized betas in a multiple regression equation:
a. Represent the slope of each predictor variable.
b. Represent the relative influence each predictor variable has in explaining the variation in the dependent variable when other predictor variables are controlled.
c. Represent the values on variable Y predicted from known particular X values.
d. Show the amount of dependent variable variation accounted for by each predictor variable.
Suppose that independent variable A explains 24 percent of the variation in a dependent variable. Suppose that independent variable B has a bivariate correlation of .40 with that same dependent variable, but that after controlling for variable A, it explains only 1 percent of the variation in the dependent variable. Then:
a. The partial r for variable B is .10.
b. The multiple correlation between both variables and the dependent variable is .50.
c. Multicollinearity exists between the two independent variables.
d. All of these.
Quick Reply
