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Multicollinearity in Regression Analysis – Dr. Arturs Kalnins

Research Methods Education Program (RMEP) 2024-2025 Webcast Lecture Series Multicollinearity in Regression Analysis – Dr. Arturs Kalnins
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  1. Question 1 of 5
    1. Question

    1. Multicollinearity does not bias regression coefficients; it only inflates standard errors.

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    2. Which of the following is a sign that multicollinearity is present in a regression model?

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    3. Low VIF scores (e.g., below 5 or 10) mean that there is no concern about multicollinearity.

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    4. What is a suppressor variable in regression analysis?

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    5. Which of the following is NOT a recommended method for dealing with multicollinearity?

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By Liliana Gomez|2025-03-03T14:41:52-05:00March 3rd, 2025|Comments Off on Multicollinearity in Regression Analysis – Dr. Arturs Kalnins
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