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QUESTION 7 1 points Save Answer Unlike the coefficient of determination, can decrease as additional explanatory variables are added to the regression model. O adjusted

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QUESTION 7 1 points Save Answer Unlike the coefficient of determination, can decrease as additional explanatory variables are added to the regression model. O adjusted R2 the t test statistic the partial F test statistic the F test statistic More than one above. None of the above. QUESTION 8 1 points Save Answer What can we conclude about the overall fit of a regression model if the p-value for an F test is 0.02? At the 1% level of significance, the overall fit of the model is satisfactory. At the 5% level of significance, the overall fit of the model is satisfactory. At the 5% level of significance, the overall fit of the model is poor. At the 10% level of significance, the overall fit of the model is poor. Both C and D above. ONone of the above.QUESTION 9 1 points Save Answer Suppose we are building a regression model for a company's sales. Model 1 has an adjusted R 2 = 0.60. Model 2 has an adjusted R 2 = 0.70. What can we conclude? A Model 1 explains 60% of the variation in sales. A Model 2 explains an additional 10% of the variation in sales. A, Model 1 is preferable. A Both A and B above. '.A, None of the above

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