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Multiple Linear Regression – Dr. Fred Oswald

Research Methods Education Program (RMEP) Basics of Research Methods Collection Multiple Linear Regression – Dr. Fred Oswald
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  1. Question 1 of 10
    1. Question

    Regression is the key ingredient to the general linear model.

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  2. Question 2 of 10
    2. Question

    Factor analysis is a set or system of ______.

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  3. Question 3 of 10
    3. Question

    In terms of the dataset, in factor analysis we know the _______ and we do not know the _______.

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  4. Question 4 of 10
    4. Question

    Linear regression does not mean that the relationship has to be linear.

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  5. Question 5 of 10
    5. Question

    Homoscedasticity is when the distribution of the data is roughly the same across the
    regression line, which means that…

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  6. Question 6 of 10
    6. Question

    Linear regression model assumptions are _____ perfectly met.

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  7. Question 7 of 10
    7. Question

    Why is it helpful to visualize our data?

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  8. Question 8 of 10
    8. Question

    After running the model, you should check these model assumptions:

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  9. Question 9 of 10
    9. Question

    The p-value for an OLS regression coefficient is the same as the p-value for its R^2 if that predictor was…

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  10. Question 10 of 10
    10. Question

    When should you avoid interpreting the main effects for a predictor in a regression
    model?

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By CARMA Admin|2024-10-23T12:47:54-04:00September 26th, 2024|Comments Off on Multiple Linear Regression – Dr. Fred Oswald
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