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1 Practice - BUAD 310 In-Class Practice Regression Analysis...

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- 1 - BUAD 310 In-Class Practice 11/1/10 Regression Analysis: pagecost versus circ The regression equation is pagecost = Predictor Coef SE Coef T P Constant 21612 2568 circ 4.9268 0.5342 S = R-Sq = Analysis of Variance Source DF SS MS F P Regression 16098031920 0.000 Residual Error 189255921 Total 47 24803804282 Predicted Values for New Observations New Obs Fit SE Fit 95% CI 95% PI 1 2243 (41731, 50760) (18189, 74303) Values of Predictors for New Observations New Obs circ 1 5000 Questions: 1. What is the least-squares regression equation to predict Pagecost from Circulation? 2. Is Circulation a statistically useful variable in predicting Pagecost? Justify your answer. 3. Is it likely that the regression line goes through the origin? 4. What percent of variation in Pagecost can be explained by Circulation? 5. Is it possible that the intercept could be 20,000? 6. What is the estimate of the standard deviation of the error term in the simple linear regression model? 7. How much unexplained variance (SSE) is left about Pagecost after accounting for Circulation?
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