Building a linear regression model So far, I have explored the dataset in detail and got familiar with it. Now it is time to create the model and see if I can predict Yearly Amount Spent.

Regression Equation . Now that we know how the relative relationship between the two variables is calculated, we can develop a regression equation to forecast or predict the variable we desire.

R 2 is a statistical measure of the goodness of fit of a linear regression model (from 0.00 to 1.00), also known as the coefficient of determination. In general, the higher the R 2 , the better ...