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Which of the following statements is true about multicollinearity? a. Multicollinearity is a strong correlation between predictor variables (X) and the dependent variable (Y) in a model b. Perfect multicollinearity
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Which of the following statements is true about multicollinearity?

a. Multicollinearity is a strong correlation between predictor variables (X) and the dependent variable (Y) in a model
b. Perfect multicollinearity means two variables have a correlation of 0
c. Two variables are considered independent if their correlation is 1
d. Multicollinearity is a strong correlation between predictors (X variables) in a model

User Usagi Miyamoto
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Final answer:

Multicollinearity is a strong correlation between predictors (X variables) in a model.

Step-by-step explanation:

The statement that is true about multicollinearity is option d. Multicollinearity is a strong correlation between predictors (X variables) in a model.

User Interjay
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