This chapter covered time series concepts such as seasonality, cyclic behavior of the data, and the autoregression and moving averages methods. Also, we learned how to apply these concepts in Stata and conduct various statistical tests to make sure that the time series analysis that you performed is correct. Last but not least, this chapter showed you how to build time series prediction models that can be leveraged when your manager at work or your professor at school tells you to build a time series model.

In the next chapter, we will study survival analysis, which is heavily used in many industries, such as healthcare, mechanics contact centers, and marketing.