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"The least squares method is a procedure for using sample data to compute an estimated regression equation." (Anderson, Sweeney & Williams, 2000, pg. 452). The method will, in essence, use the sample data to give values to "b0 and b1 that minimize the sum of the squares of the deviations between the observed values of the dependent variable yi and the estimated values of dependent variable yi...
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"The least squares method is a procedure for using sample data to compute an estimated regression equation." (Anderson, Sweeney & Williams, 2000, pg. 452). The method will, in essence, use the sample data to give values to "b0 and b1 that minimize the sum of the squares of the deviations between the observed values of the dependent variable yi and the estimated values of dependent variable yi...
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