AimeNIndependentInvestigation

AimeNIndependentInvestigation - Running Head: REGRESSION...

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Running Head: REGRESSION ANALYSIS Regression Analysis Nathan Aime Business 312 Professor Horne December 21, 2011 Regression Analysis
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REGRESSION ANALYSIS Regression analysis is a statistical tool for the investigation of relationships between variables. Usually, the investigator seeks to determine the causal effect of one variable upon another—the effect of a price increase upon demand, for example, or the effect of changes in the money supply upon the inflation rate. To explore such issues, the investigator assembles data on the underlying variables of interest and uses regression to estimate the quantitative effect of the causal variables upon the variable that they influence. The investigator also typically evaluates the “statistical significance” of the estimated relationships, that is, the degree of confidence that the true relationship is close to the estimated relationship. Regression techniques have long been central to the field of economic statistics (“econometrics”). More and more, they have become important to lawyers and legal policy makers as well. Regression has been offered as evidence of liability under Title VII of the Civil Rights Act of 1964, as evidence of racial bias in death penalty litigation, as evidence of damages in contract actions, as evidence of violations under the Voting Rights Act, and as evidence of damages in antitrust litigation, among other things (Sykes 2011). To suggest how regression may have useful applications in a legal proceeding, imagine a
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This note was uploaded on 01/08/2012 for the course BUSN 310 taught by Professor Alex during the Spring '11 term at American Public University.

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AimeNIndependentInvestigation - Running Head: REGRESSION...

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