This is the second in a series of scripts that, when bound in a textbook could be entitled “Practical Regression.” The purpose of the notes is the theoretical content of most statistics texts with practical advice on nearly three decades of experience of the author, with over one hundred years experience of colleagues who have offered leadership combined supplement based. As the title “Practical regression” implies, these notes are a guide to performing regression in practic … Read more »

This is the second in a series of scripts that, when bound in a textbook could be entitled “Practical Regression.” The purpose of the notes is the theoretical content of most statistics texts with practical advice on nearly three decades of experience of the author, with over one hundred years experience of colleagues who have offered leadership combined supplement based. As the title “Practical regression” implies, these notes are a guide to performing regression in practice. This technical note overview of the basic elements of the regression analysis. Students who can read this note, explaining the basic principles of regression, including (1) regression as alegbraic equation (2) dummy variables and nonlinear terms, (3) R-square and goodness of fit, and (4) the Reporting on the importance and economic significance of the regression coefficients. Upon completion of this note that students willing to study special topics in regression, which are covered in other notes in this series.
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David Dranove
Source: Kellogg School of Management
15 pages.
Release Date: 11 June 2012. Prod #: KEL636-PDF-ENG
Practical Regression Regression Basics HBR case solution

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