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A dependent variable b predicted value c residual d

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Unformatted text preview: . beta values AACSB: Reflective Thinking Bloom's: Comprehension Difficulty: Medium Learning Objective: 9 Topic: Residual analysis 1-1386 Chapter 01 - An Introduction to Business Statistics 63. Below is a partial multiple regression ANOVA table. How many observations were in the sample? A. 8 B. 10 C. 12 D. 11 AACSB: Analytic Bloom's: Application Difficulty: Medium Learning Objective: 2 Topic: Multiple regression model Essay Questions 64. Below is a partial multiple regression ANOVA table. What is the total sum of squares and the degrees of freedom for total sum of squares? 5,182.19 and 11 SS Total = 535.9569 + 1167.5634 + 18.9886 + 3459.68 = 5182.19 DF Total = 8 + 3 = 11 AACSB: Analytic Bloom's: Application Difficulty: Easy Learning Objective: 2 Topic: Multiple regression model 1-1387 Chapter 01 - An Introduction to Business Statistics 65. Below is a partial multiple regression ANOVA table. What is the mean square error? 432.46 MSE = 3459.6803/8 = 432.46 AACSB: Analytic Bloom's: Application Difficulty: Easy Learning Objective: 2 Topic: Multiple regression model 66. Below is a partial multiple regression ANOVA table. Calculate the explained variation. 1,722.51 Explained variation = SSR = 535.9569 + 1167.5634 + 18.9886 = 1722.51 AACSB: Analytic Bloom's: Application Difficulty: Medium Learning Objective: 4 Topic: Multiple regression model 1-1388 Chapter 01 - An Introduction to Business Statistics 67. Below is a partial multiple regression ANOVA table. Calculate the proportion of the variation explained by the multiple regression model. .33 Explained variation = SSR = 535.9569 + 1167.5634 + 18.9886 = 1722.51 AACSB: Analytic Bloom's: Application Difficulty: Hard Learning Objective: 4 Topic: Coefficient of determination 1-1389 Chapter 01 - An Introduction to Business Statistics 68. Below is a partial multiple regression ANOVA table. Test the overall usefulness of the model at α = .01. Calculate F and make your decision about whether the model is useful for prediction purposes. F = 1.33, fail to reject H0 AACSB: Analytic Bloom's: Application Difficulty: Medium Learning Objective: 4 Topic: Overall F test 1-1390 Chapter 01 - An Introduction to Business Statistics 69. Consider the following partial computer output for a multiple regression model. What is the total sum of squares, explained variation, and mean square error? 40.686, 31.308, .5861 SS Total = 31.308 + 9.378 = 40.686 SS Regression = 31.308 AACSB: Analytic Bloom's: Application Difficulty: Easy Learning Objective: 2 Topic: Multiple regression model 1-1391 Chapter 01 - An Introduction to Business Statistics 70. Consider the following partial computer output for a multiple regression model. Calculate R2. .7695 AACSB: Analytic Bloom's: Application Difficulty: Medium Learning Objective: 3 Topic: Coefficient of determination 1-1392 Chapter 01 - An Introduction to Business Statistics 71. Consider the following partial computer output for a multiple regression model. Test the overall usefulness of the model at α = .01. Calculate F and make your decision. F = 17.81, reject H0 SS Regression = 31.308 AACSB: Analytic Bloom's: Application Difficulty: Hard Learning Objective: 4 Topic: Overall F test 1-1393 Chapter 01 - An Introduction to Business Statistics 72. Consider the following analysis of variance table from a multiple regression model. Test the model for overall usefulness at = .01 and carefully make a managerial conclusion. Reject H0. It appears that the model is significant and at least one of the predictor variables is significantly related to the dependent variable. 17.81 > 5.29 AACSB: Analytic Bloom's: Analysis Difficulty: Medium Learning Objective: 4 Topic: Overall F test 73. Below is a partial multiple regression ANOVA table. What is the total sum of squares, explained variation, mean square error and the number of observations in the sample? .347, .242, .035, and 6 SST = 0.242 + 0.105 = 0.347 SS Regression = .242 AACSB: Analytic Bloom's: Application Difficulty: Medium Learning Objective: 2 Topic: Multiple regression model 1-1394 Chapter 01 - An Introduction to Business Statistics 74. Below is a partial multiple regression ANOVA table. Calculate R2. .6974 AACSB: Analytic Bloom's: Application Difficulty: Medium Learning Objective: 3 Topic: Coefficient of determination 1-1395 Chapter 01 - An Introduction to Business Statistics 75. Below is a partial multiple regression ANOVA table. Test the overall usefulness of the model at α = .05. Calculate the F statistic and make your decision. F = 3.46, fail to reject H0 SS Regression = 31.308 AACSB: Analytic Bloom's: Application Difficulty: Medium Learning Objective: 4 Topic: Overall F test 1-1396 Chapter 01 - An Introduction to Business Statistics 76. Below is a partial multiple regression ANOVA table. Calculate the adjusted R2. .4957 AACSB: Analytic Bloom's: Application Difficulty: Medium Learning Objective: 3 Topic: Coefficient of determination 77. Below is a partial multiple regression computer output. Determine the number of observations in the sample,...
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