Answers

Here are the answers to the preceding questions:

1. We identify the variables with more influence on the result variable:
   • By charting each predictor variable with the result variable independently
   • By running the regression model function for each predictor variable and measuring the p-value and t-statistics
2. It is the distance between the regression model and the expected values.
3. alpha = 0.01. The p-value has to be smaller than the alpha.
4. They are the number of predictor variables.
5. We use different values for the predictor variables to see whether the model results make sense given our experience with the data.