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D. Both A and B
E. All of the above AACSB: Reflective Thinking
Bloom's: Knowledge
Difficulty: Medium
Learning Objective: 4
Topic: Multicollinearity 11491 Chapter 01  An Introduction to Business Statistics 49. _________ regression method is used when the response variable is a qualitative or a
categorical variable.
A. Quadratic
B. Logistics
C. Multiple
D. Simple AACSB: Reflective Thinking
Bloom's: Knowledge
Difficulty: Medium
Learning Objective: 3
Topic: Logistic Regression 50. When the quadratic regression model y = β0 + β1x + β2x2 + ε is used, the term _____
shows the rate of curvature of the parabola.
A . β1
B. β2
C. β0 AACSB: Reflective Thinking
Bloom's: Knowledge
Difficulty: Medium
Learning Objective: 1
Topic: Quadratic 51. In the quadratic regression model y = β0 + β1x + β2x2 + ε, if the term β2 is greater than
zero, then the parabola opens __________.
A. Up
B. Down
C. To the left
D. To the right AACSB: Reflective Thinking
Bloom's: Knowledge
Difficulty: Hard
Learning Objective: 1
Topic: Quadratic 11492 Chapter 01  An Introduction to Business Statistics 52. In the quadratic regression model y = β0 + β1x + β2x2 + ε, if the value of the term β1
increases, then the parabola shifts _________.
A. Left
B. Right
C. Up
D. Down AACSB: Reflective Thinking
Bloom's: Knowledge
Difficulty: Hard
Learning Objective: 1
Topic: Quadratic 53. A(n) _____ observation is an observation that causes the least squares point estimates to
be substantially different from what they would be if the observation were removed from the
data.
A. Outlier
B. Dummy
C. Influential
D. Quadratic AACSB: Reflective Thinking
Bloom's: Knowledge
Difficulty: Medium
Learning Objective: 6
Topic: Outliers & Influential Observations 54. If the simple correlation coefficient between two independent variables is greater than .90,
then ______________________ is considered to be severe.
A. autocorrelation
B. interaction
C. multicollinearity
D. coefficient of determination AACSB: Reflective Thinking
Bloom's: Knowledge
Difficulty: Medium
Learning Objective: 4
Topic: Multicollinearity 11493 Chapter 01  An Introduction to Business Statistics 55. The _____ procedure works the same way as the stepwise regression procedure except
that once an independent variable is eliminated from the model, it is never returned to the
model.
A. logistic
B. stepwise
C. quadratic
D. backward AACSB: Reflective Thinking
Bloom's: Knowledge
Difficulty: Medium
Learning Objective: 5
Topic: Model Building 56. The primary use of stepwise regression is to identify the most important ___________
that should be included in the multiple regression model.
A. independent variables
B. dependent variables
C. dummy variables
D. quadratic variables AACSB: Reflective Thinking
Bloom's: Knowledge
Difficulty: Medium
Learning Objective: 5
Topic: Model Building 57. An overall measure of the difference between the least squares point estimates calculated
using observation i, and the least squares point estimates calculated without using observation
i is called the ____________ measure.
A. DurbinWatson
B. Cook's distance
C. R2
D. C AACSB: Reflective Thinking
Bloom's: Knowledge
Difficulty: Hard
Learning Objective: 6
Topic: Outliers & Influential Observations 11494 Chapter 01  An Introduction to Business Statistics 58. When independent variables in a regression model are related to, or dependent on each
other, then there exists _____ among the independent variables.
A. Multicollinearity
B. Autocorrelation
C. Independence
D. Probability AACSB: Reflective Thinking
Bloom's: Knowledge
Difficulty: Medium
Learning Objective: 4
Topic: Multicollinearity 59. Multicollinearity is severe if the largest variance inflation factor (VIF) is greater than
_____.
A. 100
B. 5
C. 10
D. 1 AACSB: Reflective Thinking
Bloom's: Knowledge
Difficulty: Hard
Learning Objective: 4
Topic: Multicollinearity 60. In a multiple regression model we can conclude that multicollinearity exists if the average
variance inflation factor
A. 100
B. 5
C. 10
D. 1 is substantially greater than _____. AACSB: Reflective Thinking
Bloom's: Knowledge
Difficulty: Hard
Learning Objective: 4
Topic: Multicollinearity 11495 Chapter 01  An Introduction to Business Statistics 61. Multicollinearity affects the ability of the ____ statistic in assessing the importance of an
independent variable.
A. C
B. F
C. t
D. VIP AACSB: Reflective Thinking
Bloom's: Knowledge
Difficulty: Hard
Learning Objective: 4
Topic: Multicollinearity 62. Significant _________ may exist when the overall Fstatistic is significant and the
individual t statistics for all independent variables is insignificant.
A. autocorrelation
B. independence
C. Multicollinearity
D. outliers AACSB: Reflective Thinking
Bloom's: Knowledge
Difficulty: Medium
Learning Objective: 4
Topic: Multicollinearity 63. Inclusion of redundant independent variables in the regression model increases the
problem of __________.
A. autocorrelation
B. independence
C. Multicollinearity
D. outliers AACSB: Reflective Thinking
Bloom's: Knowledge...
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This document was uploaded on 01/20/2014.
 Winter '14

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