Quarterly Commission Prediction Model 3 y: 0.04x1 + 6.41x2 + 14.34x3 1527.47 Variable x1: base salary 0.015 x2 = hours on phone this quarter 0.012 x3 = months experience in workforce 0.015 Adj. R2 = 98.32% You decide to remove # emails sent and re-run the model. It's looking good, bu ooooooooooooooooooooooooooooooooooooooooooooooooo before you can declare this a healthy model, you need to make sure [2, meaning your residual plots are heteroscedastic the least-square method was applied the proper dummy coding was your residual plots are applied homoscedastic