Practical Regression: Time Series and Autocorrelation Harvard Case Solution & Analysis

This is the twelfth in a series of lectures, which, when linked together in the book, could be entitled "Practical Regression." Goal score in addition to the theoretical content of most statistics texts with practical advice based on nearly three decades of experience of the author, in conjunction with more than one hundred years experience of colleagues who offered advice. As the title "Practical Regression" suggests, these notes guide performing the regression in practice. This technical note addresses the time-series data. The note explains the concept of time and trends, how to capture trends using regression. Most of the note is devoted to the problem of autocorrelation. The note concludes by discussing the use of wires and logs, as predictors. "Hide
by David Dranove Source: Kellogg School Management 7 pages. Publication Date: June 11, 2012. Prod. #: KEL646-PDF-ENG

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