QBA Chapter 3
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This 1 page Class Notes was uploaded by Nikita Hendricks on Saturday September 10, 2016. The Class Notes belongs to 2305 at Baylor University taught by Prof. Turner in Fall 2016. Since its upload, it has received 4 views. For similar materials see QBA in Business at Baylor University.
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Date Created: 09/10/16
QBA Chapter 2 Notes Rsquared measures the amount of variation in the dependent variable y that can be explained by the regression equation residual measures how much the regression equation overestimated or underestimated the actual y value for the row standard error of estimate measures the accuracy of the predictions made by the regression equation based on squared verticle deviations between the actual y value and the predicted value of y standard error of estimate measure of accuracy that gives the approximate average prediction error of the regression equation How would you decide if the regression equation should be considered useful? By comparing the "global" p-value to the stated level of significance (usually 0.05); if the "global" p-value is less than the stated level of significance, you should reject H0 and decide the regression equation is useful. confidence interval estimate for the mean of y given the x's prediction interval estimate for a single value of y given x
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