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Unformatted text preview: st squares method) minimizes:
A. The explained variation
B. SSyy
C. Total variation
D. SSxx
E. SSE AACSB: Reflective Thinking
Bloom's: Knowledge
Difficulty: Hard
Learning Objective: 2
Topic: Simple Linear Regression 57. The coefficient of determination measures the ________ explained by the simple linear
regression model.
A. Correlation
B. Proportion of variation
C. Standard error
D. Mean square error AACSB: Reflective Thinking
Bloom's: Knowledge
Difficulty: Medium
Learning Objective: 6
Topic: Coefficient of determination 58. The __________ assumption requires that all variation around the regression line should
be equal at all possible values (levels) of the independent variable.
A. normality
B. control variation
C. constant variance
D. independence AACSB: Reflective Thinking
Bloom's: Knowledge
Difficulty: Medium
Learning Objective: 3
Topic: Simple Linear Regression model assumptions 11225 Chapter 01  An Introduction to Business Statistics 59. The range for r2 is between 0 and 1 and the range for r is between ________
A. 0 and 1
B. 1 and 1
C. 1 and 0
D. no limit AACSB: Reflective Thinking
Bloom's: Knowledge
Difficulty: Easy
Learning Objective: 6
Topic: Coefficient of determination 60. The _____ of the simple linear regression model is the value of y when the mean value of
x is zero.
A. yintercept
B. slope
C. independent variable
D. response variable AACSB: Reflective Thinking
Bloom's: Knowledge
Difficulty: Medium
Learning Objective: 1
Topic: Simple Linear Regression 61. The least squares point estimates of the simple linear regression model minimize the
_____.
A. SS Error
B. Total variance
C. MS Error
D. Explained variance AACSB: Reflective Thinking
Bloom's: Knowledge
Difficulty: Hard
Learning Objective: 3
Topic: Simple Linear Regression 11226 Chapter 01  An Introduction to Business Statistics 62. _____ is a statistical technique in which we use observed data to relate a dependent
variable to one or more predictor (independent) variables.
A. Chisquare analysis
B. Regression analysis
C. Oneway ANOVA
D. Correlation analysis AACSB: Reflective Thinking
Bloom's: Knowledge
Difficulty: Medium
Learning Objective: 1
Topic: Simple Linear Regression 63. The simple linear regression model assumes there is a _____ between the dependent
variable and the independent variable.
A. normal relationship
B. reverse relationship
C. linear relationship
D. correlation AACSB: Reflective Thinking
Bloom's: Knowledge
Difficulty: Hard
Learning Objective: 1
Topic: Simple Linear Regression 64. In a simple linear regression model, they intercept term is the mean value of y when x
equals _____.
A. 1
B. 0
C. 1
D. y AACSB: Reflective Thinking
Bloom's: Knowledge
Difficulty: Easy
Learning Objective: 1
Topic: Simple Linear Regression 11227 Chapter 01  An Introduction to Business Statistics 65. In a simple linear regression model, the slope term is the change in the mean value of y
associated with _____ in x.
A. a corresponding increase
B. a variable change
C. no change
D. one unit increase AACSB: Reflective Thinking
Bloom's: Knowledge
Difficulty: Medium
Learning Objective: 1
Topic: Simple Linear Regression 66. The ______ is the range of the previously observed values of x.
A. Population region
B. Experimental region
C. Slope
D. Coefficient of determination AACSB: Reflective Thinking
Bloom's: Knowledge
Difficulty: Medium
Learning Objective: 1
Topic: Simple Linear Regression 67. Any value of the error term in a regression model is _____ any other value of the error
term.
A. increases with
B. dependent on
C. independent of
D. exactly the same as AACSB: Reflective Thinking
Bloom's: Knowledge
Difficulty: Hard
Learning Objective: 3
Topic: Simple Linear Regression model assumptions 11228 Chapter 01  An Introduction to Business Statistics 68. If there is significant autocorrelation present in a data set the ________________
assumption is violated.
A. Normality
B. Independence of error terms
C. µ = 0
D. Constant variation AACSB: Reflective Thinking
Bloom's: Knowledge
Difficulty: Medium
Learning Objective: 9
Topic: Residual analysis 69. _____ distribution is used for testing the significance of the slope term.
A. t
B. Z
C. r
D. r2 AACSB: Reflective Thinking
Bloom's: Knowledge
Difficulty: Medium
Learning Objective: 4
Topic: Significance of the slope 70. If one of the assumptions of the regression model is violated, performing data
transformations on the ____________ can remedy the situation.
A. independent variable
B. slope
C. predictor variable
D. response variable AACSB: Reflective Thinking
Bloom's: Knowledge
Difficulty: Medium
Learning Objective: 9
Topic: Residual analysis 11229 Chapter 01  An Introduction to Business Statistics 71. The ____________________ is the proportion of the total variation in the dependent
variable explained by the regression model.
A. Coefficient of determination
B. Correlation coefficient
C. Slope
D. Standard error AACSB: Reflective Thinking
Bloom's: Knowledge
Difficulty: Easy
Learning Objective: 6
Topic: Coefficient of determinat...
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This document was uploaded on 01/20/2014.
 Winter '14

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