Unformatted text preview: ion 72. A _______________ is a method or a process of estimating a relationship between a
dependent variable (Y) and a single independent variable (X).
A. Chisquare analysis
B. Simple linear regression analysis
C. Oneway ANOVA
D. Correlation analysis AACSB: Reflective Thinking
Bloom's: Knowledge
Difficulty: Easy
Learning Objective: 1
Topic: Simple Linear Regression 73. A ______________________ measures the strength of the relationship between a
dependent variable (Y) and an independent variable (X).
A. Coefficient of determination
B. Correlation coefficient
C. Slope
D. Standard error AACSB: Reflective Thinking
Bloom's: Knowledge
Difficulty: Easy
Learning Objective: 6
Topic: Correlation 11230 Chapter 01  An Introduction to Business Statistics 74. If the points are tightly distributed around the regression line on a scatter diagram, then we
can conclude that the changes in the value of the dependent variable _________ the
independent variable (X).
A. have no relationship with
B. are explained by
C. always inversely related to
D. always positively related to AACSB: Reflective Thinking
Bloom's: Knowledge
Difficulty: Medium
Learning Objective: 1
Topic: Simple Linear Regression 75. After plotting the data point s on a scatter diagram, we have observed an inverse
relationship between the independent variable (X) and the dependent variable (Y). Therefore,
we can expect both the sample slope and the __________ to be a negative value.
A. Coefficient of determination
B. Correlation coefficient
C. Slope
D. Standard error AACSB: Reflective Thinking
Bloom's: Knowledge
Difficulty: Medium
Learning Objective: 6
Topic: Correlation 11231 Chapter 01  An Introduction to Business Statistics 76. Use the following results obtained from a simple linear regression analysis with 12
observations.
= 37.2895  (1.2024) X
2
r = .6744 sb = .2934
Test to determine if there is a significant negative relationship between the independent and
dependent variable at α = .05. Give the test statistic and the resulting conclusion.
A. Reject H0, t = 4.10
B. Fail to reject H0, t = 4.10
C. Reject H0, t = 1.783
D. Fail to reject H0, t = 1.783
There is a significant negative relationship between dependent and independent variable. AACSB: Analytic
Bloom's: Application
Difficulty: Medium
Learning Objective: 4
Topic: Significance of the slope 11232 Chapter 01  An Introduction to Business Statistics 77. An experiment was performed on a certain metal to determine if the strength is a function
of heating time. Results based on 10 metal sheets are given below. Use the simple linear
regression model.
= 30
= 104
= 40
= 178
= 134
Find the estimated yintercept.
A. 1
B. 4.45
C. 10.04
D. 1.289 AACSB: Analytic
Bloom's: Application
Difficulty: Medium
Learning Objective: 2
Topic: Simple Linear Regression 11233 Chapter 01  An Introduction to Business Statistics 78. An experiment was performed on a certain metal to determine if the strength is a function
of heating time. Results based on 10 metal sheets are given below. Use the simple linear
regression model.
= 30
= 104
= 40
= 178
= 134
Find the estimated y intercept and slope and write the equation of the least squares regression
line.
A. 14  68x
B. 2 + 0x
C. 0 + 1x
D. 1 + 1x AACSB: Analytic
Bloom's: Application
Difficulty: Medium
Learning Objective: 2
Topic: Simple Linear Regression 11234 Chapter 01  An Introduction to Business Statistics 79. An experiment was performed on a certain metal to determine if the strength is a function
of heating time. Results based on 10 metal sheets are given below. Use the simple linear
regression model.
= 30
= 104
= 40
= 178
= 134
Determine SSE, SS (Total)
A. 10, 14
B. 4, 18
C. 14, 18
D. 17, 18 AACSB: Analytic
Bloom's: Application
Difficulty: Medium
Learning Objective: 3
Topic: Simple Linear Regression 11235 Chapter 01  An Introduction to Business Statistics 80. An experiment was performed on a certain metal to determine if the strength is a function
of heating time. Results based on 10 metal sheets are given below. Use the simple linear
regression model.
= 30
= 104
= 40
= 178
= 134
Determine the value of the F statistic.
A. 28
B. 7
C. 14
D. 12.6
F = 28 AACSB: Analytic
Bloom's: Application
Difficulty: Hard
Learning Objective: 8
Topic: Simple Linear Regression 11236 Chapter 01  An Introduction to Business Statistics 81. An experiment was performed on a certain metal to determine if the strength is a function
of heating time. Results based on 10 metal sheets are given below. Use the simple linear
regression model.
= 30
= 104
= 40
= 178
= 134
Determine the standard error.
A. 3.74
B. 0.707
C. 2.65
D. 0.500
s = .707 AACSB: Analytic
Bloom's: Application
Difficulty: Medium
Learning Objective: 3
Topic: Simple Linear Regression 11237 Chapter 01  An Introduction to Business Statistics 82. An experiment was performed on a certain metal to determine if the strength is a function
of heating time. Results based on 10 metal sheets are given below. Use the simple linear
regression model.
= 30
= 104
= 40
= 178
= 134
Find the t statistic and test H0: B1 ≤ 0 vs. Ha: B1 > 0 at α = .05.
A. t = 1.414, fail to reject null hypothesis
B. t = 6.00, reject nu...
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 Winter '14
 Frequency, Frequency distribution, Histogram, AACSB, Statistical charts and diagrams

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