We built a models to deal with the problems, including how to select the best coach, how to build a reasonable evaluation system, and how to make our model applied in any situation. The name of model is Stepwise Regression. We need to do the normalization processing of data and then through the step-by-step calculation only several factors were left. We find six factors to evaluate the basketball coaches, and we select two factors are important. Finally, we built an expression to calculate. By calculate the two factors data on the expression, we can rank these coaches, find the best basketball coach. We built a models to deal with the problems, including how to select the best coach, how to build a reasonable evaluation system, and how to make our model applied in any situation. The name of model is Stepwise Regression. We need to do the normalization processing of data and then through the step-by-step calculation only several factors were left. We find six factors to evaluate the basketball coaches, and we select two factors are important. Finally, we select an factors to important. two factors data on the expression, we can rank these coaches, find the best basketball coach.