Least squares regression finds the estimated values for the parameters in a regression model to minimize Why

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Least squares regression finds the estimated values for the parameters in a regression model to minimize

Why is it necessary to square the estimation errors? What problem might be encountered if we attempt to minimize just the sum of the estimationerrors?

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Spreadsheet Modeling And Decision Analysis A Practical Introduction To Business Analytics

ISBN: 1233

8th Edition

Authors: Cliff T. Ragsdale

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Question Posted: Nov 03, 2012 06:21 AM

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Least squares regression finds the estimated values for the parameters in a regression model to minimize Why

Question:

- Y)2: ESS = i (Y;

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The solution would be unbounded For virtually any regression problem the sum of th...View the full answer

Spreadsheet Modeling And Decision Analysis A Practical Introduction To Business Analytics

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