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Question 1 of 5
1. Question
1. Multicollinearity does not bias regression coefficients; it only inflates standard errors.
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Question 2 of 5
2. Question
2. Which of the following is a sign that multicollinearity is present in a regression model?
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Question 3 of 5
3. Question
3. Low VIF scores (e.g., below 5 or 10) mean that there is no concern about multicollinearity.
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Question 4 of 5
4. Question
4. What is a suppressor variable in regression analysis?
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Question 5 of 5
5. Question
5. Which of the following is NOT a recommended method for dealing with multicollinearity?
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