A researcher estimates his model by means of regression.He finds a significance level of .0012 and an R-square of .31 for the model.Which conclusion can the researcher draw from these data?
A)At least one of the independent variables or the constant of the model is significantly related to the dependent variable.
B)The model explains 31% of the variation in the independent variables.
C)Multicollinearity is the case.
D)All independent variables are significantly related to Y.

Question

Quizplus · Accepted Answer

A significance level of .0012 indicates that at least one of the independent variables or the constant of the model is significantly related to the dependent variable. The R-square of .31 indicates that the model explains 31% of the variation in the dependent variable, but it does not provide information about the individual significance of each independent variable. Multicollinearity cannot be determined solely based on these two statistics.

A Researcher Estimates His Model by Means of Regression