By Andrew Siegel
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Extra resources for Practical Business Statistics: Student Solutions Manual (6th Edition)
780) does not include the reference value 1. 65. You may conclude that the beta for McDonald’s is significantly different from the beta of a highly diversified portfolio. 7 cents) of additional sales, on average. 7% of the variation in sales is attributable to territory size. 3% of sales variation as due to other factors. Yes, territory size has a significant impact on sales because the confidence interval for the regression coefficient does not include 0. 045202). 365 for 9 – 2 = 7 degrees of freedom.
This confirms that currency movements, in this case, are consistent with geographical closeness. 551. This may also be tested using the confidence interval from a regression (either to predict yen from euro, or euro from yen). 38. 22. 12. 7% of the variation in Microsoft stock price movements. Chapter 12 Multiple Regression Predicting One Variable from Several Others Odd Problem Solutions 1. Y = Number of leads, X1 = Cost, X2 = Size. Appropriate test: F test. 3. Y = Revenues, X 1 = Total Assets, X 2 = Lumber mill Capacity.
05, which indicates significance at the 5% level. b. No. Value dissensus does not have a significant impact on performance. 792174. 05 indicates a nonsignificant result (tested at the conventional 5% level). c. The interaction of competition-cooperation and value dissensus is not significant. 05 and therefore the test is not significant. This tells you that the performance measures for competition and for cooperation showed the same pattern for low value dissensus as for high value dissensus. Being careful (since this is a weak conclusion of accepting a null hypothesis) we would conclude that there is no strong evidence that the performance difference between competition and cooperation depends at all on value dissensus.