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Unformatted text preview: near regression analysis. What is the predicted value of y when x = 1,000?
A. 1148.13
B. 27.01
C. 1091.87
D. 1142.90 132. Consider the following partial computer output from a simple linear regression analysis. Calculate the correlation coefficient.
A. .9722
B. .986
C. .088
D. .2968 133. Complete the following partial ANOVA table from a simple linear regression analysis
with a sample size of 16 observations. Find the F test to test the significance of the model. A. 3.214
B. 6.78
C. 6.33
D. 4.60 11189 Chapter 01  An Introduction to Business Statistics 134. Consider the following partial computer output from a simple linear regression analysis
with a sample size of 16 observations. Find the t test to test the significance of the model. A. 2.52
B. 2.61
C. 2.15
D. 2.65 135. Consider the following partial computer output from a simple linear regression analysis. S = 0.4862 RSq = ______
Analysis of Variance What is the estimated yintercept?
A. 4.862
B. 0.347
C. .5201
D. .8089 11190 Chapter 01  An Introduction to Business Statistics 136. Consider the following partial computer output from a simple linear regression analysis. S = 0.4862 RSq = ______
Analysis of Variance What is the estimated slope?
A. 4.862
B. 0.347
C. .5201
D. .05866 137. Consider the following partial computer output from a simple linear regression analysis. S = 0.4862 RSq = ______
Analysis of Variance Write the equation of the least squares line.
A. y = 4.8615 + 0.34655x
B. y = .34655 + 4.8615x
C. y = 4.8615  .34655x
D. y = .5201 + .05866x 11191 Chapter 01  An Introduction to Business Statistics 138. Consider the following partial computer output from a simple linear regression analysis. S = 0.4862 RSq = ______
Analysis of Variance Test H0:
= .001. What do you conclude about the
1 = 0 versus Ha:
1 ≠ 0 by setting
relationship between y and x?
A. Reject the null hypothesis, significant linear relationship between x and y
B. Fail to reject the null hypothesis, no evidence of a linear relationship between x and y 139. Consider the following partial computer output from a simple linear regression analysis. S = 0.4862 RSq = ______
Analysis of Variance Calculate the t statistic used to test H0:
A. 5.908
B. 4.221
C. 5.908
D. 4.221 1 = 0 versus Ha: 11192 1 ≠ 0 at α = .001. Chapter 01  An Introduction to Business Statistics 140. Consider the following partial computer output from a simple linear regression analysis. S = 0.4862 RSq = ______
Analysis of Variance What is the predicted value of y when x = 9.00?
A. 7.980
B. 1.743
C. 4.1385
D. 1.743 141. Consider the following partial computer output from a simple linear regression analysis. S = 0.4862 RSq = ______
Analysis of Variance Calculate the MSE.
A. .4862
B. .6973
C. .2364
D. .5201 11193 Chapter 01  An Introduction to Business Statistics 142. Consider the following partial computer output from a simple linear regression analysis. S = 0.4862 RSq = ______
Analysis of Variance Calculate the SSE
A. 3.073
B. 6.321
C. 3.310
D. 11.324 143. Consider the following partial computer output from a simple linear regression analysis. S = 0.4862 RSq = ______
Analysis of Variance What is the unexplained variance?
A. 11.324
B. 3.073
C. 6.321
D. 3.310 11194 Chapter 01  An Introduction to Business Statistics 144. Consider the following partial computer output from a simple linear regression analysis. S = 0.4862 RSq = ______
Analysis of Variance What is the explained variance?
A. 11.324
B. 3.073
C. 8.251
D. 6.321 145. Consider the following partial computer output from a simple linear regression analysis. S = 0.4862 RSq = ______
Analysis of Variance What is the coefficient of determination?
A. .8536
B. .7286
C. .2714
D. .3724 11195 Chapter 01  An Introduction to Business Statistics 146. Consider the following partial computer output from a simple linear regression analysis. S = 0.4862 RSq = 0.7286
Analysis of Variance What is the correlation coefficient?
A. .8536
B. .7286
C. .4862
D. .8536 147. Consider the following partial computer output from a simple linear regression analysis. S = 0.4862 RSq = ______
Analysis of Variance Determine the 95% confidence interval for the mean value of y when x = 9.00. Givens: ∑ x =
129.03 and ∑ x2 = 1178.547
A. (.6572 2.829)
B. (1.467 2.019)
C. (.6718 .2814)
D. (1.471 2.015) 11196 Chapter 01  An Introduction to Business Statistics 148. Consider the following partial computer output from a simple linear regression analysis. S = 0.4862 RSq = ______
Analysis of Variance Determine the 95% prediction interval for the mean value of y when x = 9.00 Givens: ∑ x =
129.03 and ∑ x2 = 1178.547
A. (.6572 2.829)
B. (1.467 2.019)
C. (.6718 .2814)
D. (1.471 2.015) 11197 Chapter 01  An Introduction to Business Statistics
Essay Questions 149. Consider the following partial computer output from a simple linear regression analysis. S = 0.4862 RSq = 0.7286
Analysis of Variance Test to determine if there is a significant correlation between x and y. Use H0: ρ = 0 versus
Ha: ρ...
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This document was uploaded on 01/20/2014.
 Winter '14

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