1
Q
When do we use multiple regression?
A
Predicting 1 numeric variable based on values of multiple numeric variables
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)
3
Q
Hypotheses
A
H0: _____, _____, _____ is not linear predictor of ____
Ha: _____, _____, _____ is a linear predictor of _____
4
Q
What values do we report?
A
Test statistic, p-value
5
Q
Conclusion:
A
There is/isn’t sufficient evidence of a linear relationship between _____ and _____, _____, ____
