The condition of an independent variable being correlated to one or more other independent variables is referred to as
A)multicollinearity.
B)statistical significance.
C)linearity.
D)nonlinearity.
E)The significance level for the F-test is not valid.

Question

Quizplus · Accepted Answer

Multicollinearity is the condition when one or more independent variables are highly correlated with each other, which can cause issues in statistical models such as regression. It can make it difficult to interpret the effects of individual variables and can lead to unstable and unreliable estimation of coefficients. Therefore, it is important to detect and address multicollinearity in statistical analysis.

The Condition of an Independent Variable Being Correlated to One