What does inference in multiple linear regression primarily involve?
- Calculating the mean of the residuals
- Creating the scatter plot
- Drawing the best fit line
- Interpreting the coefficients
Inference in multiple linear regression primarily involves interpreting the coefficients of the model, which represent the expected change in the response variable for each one-unit change in the respective explanatory variable, assuming all other variables are held constant.
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