In Multiple Regression Equation, the Term "Multicollinearity" Refers To

question 8

Multiple Choice

In multiple regression equation, the term "multicollinearity" refers to:

• A) The noninclusion of a predictor in a stepwise regression because of insufficient explanatory power
• B) The obscuring or alteration of relationships between a predictor and an outcome due to overlapping variability among predictors
• C) The successively smaller increments to the value of R² as additional predictors are added to the equation
• D) The instability to the regression equation that can occur when predictor variables are too highly correlated

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