Unformatted text preview: ll of the independent variables x1, x2,
…xk are significantly related to the dependent variable y.
FALSE AACSB: Reflective Thinking
Bloom's: Comprehension
Difficulty: Medium
Learning Objective: 4
Topic: Overall F test 8. For the same point estimate of the dependent variable and the same level of significance,
the confidence interval is always wider than the corresponding prediction interval.
FALSE AACSB: Reflective Thinking
Bloom's: Comprehension
Difficulty: Hard
Learning Objective: 6
Topic: Confidence & prediction intervals 11366 Chapter 01  An Introduction to Business Statistics 9. An application of the multiple regression model generated the following results involving
the F test of the overall regression model: p  value = .0012, R2 = .67 and s = .076. Thus, the
null hypothesis, which states that none of the independent variables are significantly related to
the dependent variable, should be rejected at the .05 level of significance.
TRUE AACSB: Reflective Thinking
Bloom's: Comprehension
Difficulty: Medium
Learning Objective: 4
Topic: Overall F test 10. The multiple correlation coefficient can assume any value between zero and 1, inclusive.
FALSE AACSB: Reflective Thinking
Bloom's: Comprehension
Difficulty: Medium
Learning Objective: 3
Topic: Multiple regression model 11. Testing the contribution of individual independent variables with ttests is performed prior
to the Ftest for the model in multiple regression analysis.
FALSE AACSB: Reflective Thinking
Bloom's: Comprehension
Difficulty: Easy
Learning Objective: 5
Topic: Significance of an independent variable 12. The normal plot is a residual plot that checks the normality assumption.
TRUE AACSB: Reflective Thinking
Bloom's: Comprehension
Difficulty: Easy
Learning Objective: 2
Topic: Multiple regression model assumptions 11367 Chapter 01  An Introduction to Business Statistics 13. The assumption of independent error terms in regression analysis is often violated when
using time series data.
TRUE AACSB: Reflective Thinking
Bloom's: Comprehension
Difficulty: Medium
Learning Objective: 2
Topic: Multiple regression model assumptions 14. In a multiple regression analysis, if the normal probability plot exhibits approximately a
straight line, then it can be concluded that the assumption of normality is not violated.
TRUE AACSB: Reflective Thinking
Bloom's: Comprehension
Difficulty: Medium
Learning Objective: 2
Topic: Multiple regression model assumptions 15. Completely randomized analysis of variance models (oneway ANOVA) can always be
converted to a multiple regression models with dummy independent variables.
TRUE AACSB: Reflective Thinking
Bloom's: Comprehension
Difficulty: Medium
Learning Objective: 7
Topic: Dummy variables 16. If we are predicting y when the values of the independent variables are x01, x02, ….,x0k,
the farther the values of x01, x02,….,x0kare from the center of the experimental region, the
smaller the distance value and the more precise the associated confidence and prediction
intervals.
TRUE AACSB: Reflective Thinking
Bloom's: Comprehension
Difficulty: Medium
Learning Objective: 6
Topic: Confidence & prediction intervals 11368 Chapter 01  An Introduction to Business Statistics Multiple Choice Questions 17. When using a multiple regression model, we assume that error terms (residuals) are
distributed according to a(n) ________________ distribution.
A. Binomial
B. Normal
C. Exponential
D. Poisson AACSB: Reflective Thinking
Bloom's: Comprehension
Difficulty: Medium
Learning Objective: 2
Topic: Multiple regression model 18. The multiple coefficient of determination is the _______ divided by the total variation
A. Unexplained variation
B. SSE
C. Explained variation
D. Distance value
E. Leverage value AACSB: Reflective Thinking
Bloom's: Comprehension
Difficulty: Medium
Learning Objective: 3
Topic: Multiple regression model 19. Which is not an assumption of a multiple regression model?
A. Positive autocorrelation of error terms
B. Normality of error terms
C. Independence of error terms
D. Constant variation of error terms AACSB: Reflective Thinking
Bloom's: Comprehension
Difficulty: Medium
Learning Objective: 2
Topic: Multiple regression model assumptions 11369 Chapter 01  An Introduction to Business Statistics 20. The range of feasible values for the multiple coefficient of determination is from:
A. 0 to
B. 1 to 0
C. 1 to 1
D. 0 to 1
E. to 0 AACSB: Reflective Thinking
Bloom's: Comprehension
Difficulty: Medium
Learning Objective: 3
Topic: Coefficient of determination 21. The range of feasible values for the multiple coefficient of correlation is from:
A. 0 to
B. 1 to 0
C. 1 to 1
D. 0 to 1
E. to 0 AACSB: Reflective Thinking
Bloom's: Comprehension
Difficulty: Medium
Learning Objective: 3
Topic: Coefficient of determination 22. For a given multiple regression model with three independent variables, the value of the
adjusted multiple coefficient of determination is _________ less than R2.
A. Always
B. Sometimes
C. Never AACSB: Reflective Thinking
Bloom's: Comprehension
Difficulty: Medium
Learning Objective: 3
Topic: Coefficient of determination 1...
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 Winter '14
 Frequency, Frequency distribution, Histogram, AACSB, Statistical charts and diagrams

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