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      Question

      What are the potential consequences of high

      multicollinearity in a multiple regression model?
      A Inflated standard errors and unreliable coefficient estimates Correct Answer Incorrect Answer
      B Improved prediction accuracy and lower model variance Correct Answer Incorrect Answer
      C No effect on the model’s R-squared or overall fit Correct Answer Incorrect Answer
      D Higher significance of individual predictors and more accurate p-values Correct Answer Incorrect Answer

      Solution

      The correct answer is A

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