In regression, it is desired to predict the dependent variable based on values of other related independent variables. Occasionally, there are relationships that exist between the independent
Variables. Which of the following multiple regression pitfalls does this example describe?
A)Multicollinearity
B)Extrapolation
C)Estimability
D)Stepwise Regression

Question

Quizplus · Accepted Answer

Multicollinearity refers to the situation in regression analysis where independent variables are highly correlated with each other. This can make it difficult to determine the individual effect of each independent variable on the dependent variable.

In Regression, It Is Desired to Predict the Dependent Variable