Multiple Regression Flashcards

1
Q

When do we use multiple regression?

A

Predicting 1 numeric variable based on values of multiple numeric variables

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2
Q

Assumptions

A

Linearity (look at residual plot for curvature), normality (look at histogram for skew, outliers, symmetry), constant variance (residual plot for scatter)

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3
Q

Hypotheses

A

H0: _____, _____, _____ is not linear predictor of ____

Ha: _____, _____, _____ is a linear predictor of _____

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4
Q

What values do we report?

A

Test statistic, p-value

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5
Q

Conclusion:

A

There is/isn’t sufficient evidence of a linear relationship between _____ and _____, _____, ____

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