Practical Regression: Time Series and Autocorrelation

Case Solution

David Dranove
Kellogg School of Management ()

This is the twelfth in a series of scripts that, when combined into a textbook, could be called “Practice Regression.” The notes are intended to supplement the theoretical content of most statistical texts with practical advice based on the author’s nearly three decades of experience combined with more than a century of experience from colleagues who have provided guidance. As the title “Practice Regression” suggests, these notes are a guide for conducting regression in practice. This technical note explains time series data. The note explains the concept of a time trend and how to capture the trend using regression. Most of the note is devoted to the problem of autocorrelation. The note concludes by discussing the use of leads and lags as predictor variables.

We don‘t have the case solution, but we pay up to $50 for yours!

  • Set a reminder to receive an email after your university‘s case study deadline.
  • Upload your case study solution. We will review it for quality.
  • Get your money via PayPal or to your bank account.