B 9 10 10 2 points Due to the robust nature of the assumption of normality, non-normality is not usually a problem unless it is more than just moderately skewed. True False 11 2 points If you discover that you have outliers in your data set, which of the following should you NOT do: Change your model to reflect the new information they provide 10000 If they're true outliers, always delete them from your data Check to see if they were incorrectly coded Consider removing them if they don't accurately represent the data 12 2 points Which of the following can be rectified by transforming one of the variables: misspecification extrapolation heteroscedasticity mulitcollinearity 13 2 points It's important to conduct residual analysis before you begin the model building process so you will know if you're violating any of the assumptions of least squares regressio True False