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Unformatted text preview: cator variables typically are values of zero or one, and are used to model
the effects of different levels of _____ variables.
A. Qualitative
B. Quantitative
C. Ratio
D. Measured AACSB: Reflective Thinking
Bloom's: Comprehension
Difficulty: Medium
Learning Objective: 7
Topic: Dummy variables 11381 Chapter 01  An Introduction to Business Statistics 49. The _____ term describes the effects on y of all factors other than the independent
variables in a multiple regression model.
A. Dependent
B. ttest
C. Error
D. Dummy AACSB: Reflective Thinking
Bloom's: Comprehension
Difficulty: Medium
Learning Objective: 1
Topic: Multiple regression model 50. The y intercept (β0) in a multiple regression model represents the estimated value of the
________ variable, when the value of all independent variables is/are _______.
A. Response, one
B. Dummy, zero
C. Response, zero
D. Dummy, one AACSB: Reflective Thinking
Bloom's: Comprehension
Difficulty: Medium
Learning Objective: 1
Topic: Multiple regression model 51. The difference between the observed values of y and the predicted value of y is referred to
as a/an _____.
A. Dependent variable
B. Predicted value
C. Residual
D. Explained variation AACSB: Reflective Thinking
Bloom's: Comprehension
Difficulty: Medium
Learning Objective: 9
Topic: Residual analysis 11382 Chapter 01  An Introduction to Business Statistics 52. The effects of different levels of qualitative independent variables are described using
_____ variables.
A. Dependent
B. Response
C. Dummy
D. Quantitative AACSB: Reflective Thinking
Bloom's: Comprehension
Difficulty: Medium
Learning Objective: 7
Topic: Dummy variables 53. The range of the previously observed combinations of values of the independent variables
is referred to as the _____.
A. Area under the normal curve
B. Residual
C. Experimental region
D. Correlation coefficient AACSB: Reflective Thinking
Bloom's: Comprehension
Difficulty: Medium
Learning Objective: 1
Topic: Multiple regression model 54. Dummy variables take on the values of ______ and are used to model the effects of
different levels of qualitative variables.
A. 1 or 1
B. 1 or 2
C. 0 or 2
D. 0 or 1 AACSB: Reflective Thinking
Bloom's: Comprehension
Difficulty: Medium
Learning Objective: 1
Topic: Dummy variables 11383 Chapter 01  An Introduction to Business Statistics 55. Consider the following partial computer output for a multiple regression model. The calculated value of the t statistic for X1 is ________.
A. 2.325
B. 2.325
C. 0.4301
D. 0.4301 AACSB: Analytic
Bloom's: Application
Difficulty: Medium
Learning Objective: 5
Topic: Significance of an independent variable 56. In a multiple regression model, the explained sum of squares divided by the total sum of
squares yields the ___________.
A. F model
B. t statistic
C. R
D. R2 AACSB: Reflective Thinking
Bloom's: Comprehension
Difficulty: Medium
Learning Objective: 3
Topic: Coefficient of determination 11384 Chapter 01  An Introduction to Business Statistics 57. In a multiple regression model, a point estimate of σ2 is called the ________________
error.
A. standard
B. regression
C. mean square
D. multiple regression AACSB: Reflective Thinking
Bloom's: Comprehension
Difficulty: Medium
Learning Objective: 2
Topic: Multiple regression model 58. In a multiple regression analysis, if the normal probability plot is a ____________, then it
can be concluded that the assumption of normality is not violated.
A. Normal curve
B. Straight line
C. Parabola
D. Curved line AACSB: Reflective Thinking
Bloom's: Comprehension
Difficulty: Medium
Learning Objective: 9
Topic: Multiple regression model assumptions 59. Plotting the residuals in a timeordered sequence will reveal possible violations of the
__________ of error terms assumption.
A. Normality
B. Independence
C. Constant variation
D. Residual sum AACSB: Reflective Thinking
Bloom's: Comprehension
Difficulty: Medium
Learning Objective: 9
Topic: Residual analysis 11385 Chapter 01  An Introduction to Business Statistics 60. In a multiple regression model the residuals were plotted against the values of one of the
independent variables. The plot exhibited a funneling out pattern of residuals. This means that
as the value of the independent variable increases, the error terms tend to ________ and the
model assumption of ________ is violated.
A. increase, constant variance
B. increase, independence
C. decrease, constant variance
D. decrease, normality AACSB: Reflective Thinking
Bloom's: Comprehension
Difficulty: Hard
Learning Objective: 9
Topic: Multiple regression model assumptions 61. A(n) ________ plot is a residual plot that is used for the purpose of checking the
normality assumption of the multiple regression model.
A. Straight line
B. Normal
C. Scatter
D. Quadratic AACSB: Reflective Thinking
Bloom's: Comprehension
Difficulty: Easy
Learning Objective: 9
Topic: Residual analysis 62. Assumptions of a regression model can be evaluated by plotting and analyzing the
_________.
A. independent variables
B. dependent variables
C. error terms
D...
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This document was uploaded on 01/20/2014.
 Winter '14

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