This preview shows page 1. Sign up to view the full content.
Unformatted text preview: ere 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. 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. 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 11455 Chapter 01  An Introduction to Business Statistics 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 43. In multiple regression analysis an outlier observation is ____________ influential.
A. Always
B. Sometimes
C. Never 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 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 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 11456 Chapter 01  An Introduction to Business Statistics 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 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 error of estimate
D. Both A and B
E. All of the above 49. _________ regression method is used when the response variable is a qualitative or a
categorical variable.
A. Quadratic
B. Logistics
C. Multiple
D. Simple 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 11457 Chapter 01  An Introduction to Business Statistics 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 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 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 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 11458 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 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 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 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 11459 Chapter 01  An Introduction to...
View Full
Document
 Winter '14

Click to edit the document details