Unformatted text preview: ive Thinking
Bloom's: Knowledge
Difficulty: Medium
Learning Objective: 6
Topic: Outliers & Influential Observations 7. Cook's distance is a way to determine whether an observation is influential.
TRUE AACSB: Reflective Thinking
Bloom's: Knowledge
Difficulty: Medium
Learning Objective: 6
Topic: Outliers & Influential Observations 8. An independent variable dropped during an iteration of the backward elimination process
may be added back to the regression model during a later iteration of the process.
FALSE AACSB: Reflective Thinking
Bloom's: Knowledge
Difficulty: Medium
Learning Objective: 5
Topic: Model Building 11478 Chapter 01  An Introduction to Business Statistics 9. In comparing regression models, the regression model with the largest R2 will also have the
smallest standard error(s).
FALSE AACSB: Reflective Thinking
Bloom's: Knowledge
Difficulty: Medium
Learning Objective: 5
Topic: Model Building 10. Multicollinearity hinders the regression model's ability to predict the dependent variable
on the basis of a combination of values of the independent variable in the experimental
region.
FALSE AACSB: Reflective Thinking
Bloom's: Knowledge
Difficulty: Hard
Learning Objective: 4
Topic: Multicollinearity 11. In a multiple regression mode if the largest VIF is 21.6, then it can be concluded that there
are indications of multicollinearity.
TRUE AACSB: Reflective Thinking
Bloom's: Knowledge
Difficulty: Medium
Learning Objective: 4
Topic: Multicollinearity 12. In multiple regression analysis, if the simple correlation coefficient between the dependent
variable and one of the independent variables is .95, then this indicates that the problem of
multicollinearity exists.
FALSE AACSB: Reflective Thinking
Bloom's: Knowledge
Difficulty: Easy
Learning Objective: 4
Topic: Multicollinearity 11479 Chapter 01  An Introduction to Business Statistics 13. When there are indications of autocorrelation, first an investigation should be conducted
to determine whether one or more independent variables that might explain the
autocorrelation have been omitted from the model.
TRUE AACSB: Reflective Thinking
Bloom's: Knowledge
Difficulty: Easy
Learning Objective: 8
Topic: Autocorrelation 14. If a particular multiple regression model has a small value of the C statistic and C for this
model is less than k + 1, where k is the number of independent variables in the model, then
the model should be considered biased and therefore undesirable.
FALSE AACSB: Reflective Thinking
Bloom's: Knowledge
Difficulty: Medium
Learning Objective: 5
Topic: Model Building Multiple Choice Questions 15. The general form of the quadratic multiple regression models is:
A. y = 1X1 + 2X2 +
B. y = 0 + 1X1 + 2X2 +
C. y = 0 + X+ D. y = 0 + E. y = 0 + 1 X2 + 1 1 2 X2 + X1 + X22 + 2 AACSB: Reflective Thinking
Bloom's: Knowledge
Difficulty: Medium
Learning Objective: 1
Topic: Quadratic 11480 Chapter 01  An Introduction to Business Statistics 16. As we increase the number of independent variables in a multiple regression model, the F
statistic will _____ increase.
A. Always
B. Sometimes
C. Never AACSB: Reflective Thinking
Bloom's: Knowledge
Difficulty: Hard
Learning Objective: 5
Topic: Model Building 17. In the quadratic regression model
zero, then the parabola opens __________.
A. Less than, upward
B. Greater than, upward
C. Greater than, either upward or downward
D. Less than, either upward or downward
E. Equal to, downward if the term 2 is ______ AACSB: Reflective Thinking
Bloom's: Knowledge
Difficulty: Hard
Learning Objective: 1
Topic: Quadratic 18. In the quadratic regression model
the:
A. Rate of curvature of the parabola.
B. Value of Y when X is zero.
C. Shift parameter of the parabola.
D. Yintercept of the parabola. the AACSB: Reflective Thinking
Bloom's: Knowledge
Difficulty: Medium
Learning Objective: 1
Topic: Quadratic 11481 1 term represents Chapter 01  An Introduction to Business Statistics 19. In the quadratic regression model
the:
A. Rate of curvature of the parabola.
B. Value of Y when X is zero.
C. Shift parameter of the parabola.
D. Yintercept of the parabola. , the v2 term represents AACSB: Reflective Thinking
Bloom's: Knowledge
Difficulty: Medium
Learning Objective: 1
Topic: Quadratic 20. The graph of the prediction equation obtained from the model
is a(n)
A. Line
B. Plane
C. Parabola
D. Exponential curve AACSB: Reflective Thinking
Bloom's: Knowledge
Difficulty: Medium
Learning Objective: 1
Topic: Quadratic 21. Adding any independent variable to a regression model will increase
A. Adjusted R2 or
B. s
C. MSE
D. R2
E. The length of all prediction intervals AACSB: Reflective Thinking
Bloom's: Knowledge
Difficulty: Medium
Learning Objective: 5
Topic: Model Building 11482 Chapter 01  An Introduction to Business Statistics 22. If a regression model with k independent variables has a C statistic less than _______,
then the model is considered to be desirable.
A. k + 1
B. k
C. k1
D. 1/k
E. k2 AACSB: Reflective Thinking
Bloom's: Knowledge
Difficulty: Hard
Learning Objective: 5
Topic:...
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This document was uploaded on 01/20/2014.
 Winter '14

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