In this chapter, you learned about several linear regression models. I hope you will find this information useful to solve some of your own practical problems. For example, you can predict your next electrical bill by doing a historical survey of your old bills. When not sure, start with a single predictor and gradually add more predictors to find a suitable model. Also, you can ask domain experts to locate predictor variables. Although there can be a temptation to use linear regression for prediction, don't give in. Linear regression can't work that way.
In the next chapter, you will learn about several supervised learning algorithms for classification. I hope you have enjoyed reading this chapter.
