Practical Regression: Noise Heteroskedasticity and Grouped Data Harvard Case Solution & Analysis

This is the sixth in a series of lectures, which, if linked together in a textbook can be "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 offered recommendations. As the title "Practical Regression" suggests, these notes guide performing the regression in practice. This note begins with a description of the problems that arise when the variables are measured with noise. The note progresses to explain how to check and correct heteroscedasticity. This also explains why you need to adjust the standard errors when working with grouped data. "Hide
by David Dranove Source: Kellogg School Management 15 pages. Publication Date: June 11, 2012. Prod. #: KEL640-PDF-ENG

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