Unformatted text preview: . beta values AACSB: Reflective Thinking
Bloom's: Comprehension
Difficulty: Medium
Learning Objective: 9
Topic: Residual analysis 11386 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 11387 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 11388 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 11389 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 11390 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 11391 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 11392 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 11393 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 11394 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 11395 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 11396 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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 Winter '14
 Frequency, Frequency distribution, Histogram, AACSB, Statistical charts and diagrams

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