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Select all that apply Multicollinearity can have many adverse effects on a multiple regression equation. Which of the following would it be? Multiple select question.
Select all that apply Multicollinearity can have many adverse effects on a multiple regression equation. Which of the following would it be? Multiple select question. The residuals show a definite pattern, indicating a poor fit between regression and data. A variable known to be an important predictor has a non-significant coefficient. The value or sign of one or more coefficients violates common sense. R2 is low even though the variables are known to strongly affect the outcome
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