This chapter presents a simple, naive example of an ordinary regression using time series data. The results from this analysis can lead to unrealistic assumptions. Even when some of the errors are eliminated by the application of more refined techniques, the conclusion is doubtful. In practice, many regression models for time series data produce similar results. This chapter presents an analysis that is obviously in error in order to set the scene for properly modeling the dynamics of time series in later chapters.