Unformatted text preview: ntial observations in multiple regression analysis.
C. Determining the significance of an independent variable.
D. Determining if there is significant multicollinearity.
E. Determining if the overall regression model is significant. AACSB: Reflective Thinking
Bloom's: Knowledge
Difficulty: Medium
Learning Objective: 6
Topic: Outliers & Influential Observations 11487 Chapter 01  An Introduction to Business Statistics 37. A very insignificant independent variable (an independent variable that has a very weak
relationship with the dependent variable) is added to a multiple regression equation. As a
result of this change, the value of explained variation (SSR) will _________, the value of
multiple coefficient of determination (R2) will _________, and the calculated value of the F
statistic will most likely _________.
A. Decrease, increase, decrease
B. Increase, decrease, decrease
C. Increase, increase, increase
D. Increase, increase, decrease
E. Decrease, decrease, decrease AACSB: Reflective Thinking
Bloom's: Knowledge
Difficulty: Hard
Learning Objective: 5
Topic: Model Building 38. The DurbinWatson test statistic ranges from:
A. 4 to 4
B. 0 to 4
C. 0 to 3
D. 1 to 1
E. 0 to 1 AACSB: Reflective Thinking
Bloom's: Knowledge
Difficulty: Medium
Learning Objective: 8
Topic: Autocorrelation 39. If the DurbinWatson statistic is less than dL, then it is concluded that
A. There is significant positive autocorrelation.
B. There is significant negative autocorrelation.
C. There is significant autocorrelation but it cannot be identified whether it is positive or
negative.
D. The test results are inconclusive. AACSB: Reflective Thinking
Bloom's: Knowledge
Difficulty: Medium
Learning Objective: 8
Topic: Autocorrelation 11488 Chapter 01  An Introduction to Business Statistics 40. If the DurbinWatson statistic is greater than (4  dL), then it is concluded that
A. There is significant positive autocorrelation.
B. There is significant negative autocorrelation.
C. There is significant autocorrelation but it cannot be identified whether it is positive or
negative.
D. The test result is inconclusive. AACSB: Reflective Thinking
Bloom's: Knowledge
Difficulty: Medium
Learning Objective: 8
Topic: Autocorrelation 41. In regression analysis the _________ is used to identify outliers with respect to their x
values and ________ is used to identify outliers with respect to their y values.
A. Leverage value, DurbinWatson statistic
B. Leverage value, residuals
C. Residuals, standardized residuals
D. DurbinWatson statistic, residuals
E. Variance Inflation Factor, Leverage value AACSB: Reflective Thinking
Bloom's: Knowledge
Difficulty: Hard
Learning Objective: 6
Topic: Outliers & Influential Observations 42. Which one of the following is not a tool used to identify multicollinearity?
A. Variance Inflation Factor
B. Correlation matrix
C. Studentized residuals
D. Scatter plots that show the scatter plots for all combinations of variables in the regression
model AACSB: Reflective Thinking
Bloom's: Knowledge
Difficulty: Hard
Learning Objective: 4
Topic: Multicollinearity 11489 Chapter 01  An Introduction to Business Statistics 43. In multiple regression analysis an outlier observation is ____________ influential.
A. Always
B. Sometimes
C. Never AACSB: Reflective Thinking
Bloom's: Knowledge
Difficulty: Hard
Learning Objective: 6
Topic: Outliers & Influential Observations 44. In residual analysis, as the value of the leverage _____________, the value of the
studentized residual _____________.
A. Decreases, increases
B. Increases, decreases
C. Decreases, decreases
D. None of the above AACSB: Reflective Thinking
Bloom's: Knowledge
Difficulty: Hard
Learning Objective: 6
Topic: Outliers & Influential Observations 45. In a multiple regression model, as a result of adding a new independent variable, as s
___________, the length of the prediction interval for y will _________.
A. Increases, always increase
B. Decreases, sometimes decrease
C. Increases, never increase
D. Decreases, always increase
E. Increases, always decrease AACSB: Reflective Thinking
Bloom's: Knowledge
Difficulty: Hard
Learning Objective: 5
Topic: Model Building 11490 Chapter 01  An Introduction to Business Statistics 46. Given the regression model y = β0 + β1X1 + β2X2 + β3X12 + β4X22 + ε, if we wish to test
the significance of higher order terms, (X12 and X22) we would use the following test.
A. Overall F test
B. DurbinWatson test
C. Partial F test
D. t test
E. Cook's distance measure AACSB: Reflective Thinking
Bloom's: Knowledge
Difficulty: Hard
Learning Objective: 1
Topic: Quadratic 47. Given the regression model y = β0 + β1X1 + β2X2 + β3X12 + β4X22 + ε, if we wish to test
the significance of the independent variable X2, the appropriate null hypothesis is:
A. H0: X2 = 0
B. H0: β2 ≠ 0
C. H0: β2 ≠ X2
D. H0: β2 = 0
E. H0: β2  X2 = 0 AACSB: Reflective Thinking
Bloom's: Knowledge
Difficulty: Medium
Learning Objective: 1
Topic: Quadratic 48. In multiple regression analysis which of the following can be used to identify
multicollinearity?
A. The VIF
B. The correlation matrix
C. The standard erro...
View
Full Document
 Winter '14
 Frequency, Frequency distribution, Histogram, AACSB, Statistical charts and diagrams

Click to edit the document details