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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 1-1189 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 R-Sq = ______ Analysis of Variance What is the estimated y-intercept? A. 4.862 B. -0.347 C. .5201 D. .8089 1-1190 Chapter 01 - An Introduction to Business Statistics 136. Consider the following partial computer output from a simple linear regression analysis. S = 0.4862 R-Sq = ______ 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 R-Sq = ______ 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 1-1191 Chapter 01 - An Introduction to Business Statistics 138. Consider the following partial computer output from a simple linear regression analysis. S = 0.4862 R-Sq = ______ 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 R-Sq = ______ 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: 1-1192 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 R-Sq = ______ 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 R-Sq = ______ Analysis of Variance Calculate the MSE. A. .4862 B. .6973 C. .2364 D. .5201 1-1193 Chapter 01 - An Introduction to Business Statistics 142. Consider the following partial computer output from a simple linear regression analysis. S = 0.4862 R-Sq = ______ 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 R-Sq = ______ Analysis of Variance What is the unexplained variance? A. 11.324 B. 3.073 C. 6.321 D. 3.310 1-1194 Chapter 01 - An Introduction to Business Statistics 144. Consider the following partial computer output from a simple linear regression analysis. S = 0.4862 R-Sq = ______ 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 R-Sq = ______ Analysis of Variance What is the coefficient of determination? A. .8536 B. .7286 C. .2714 D. .3724 1-1195 Chapter 01 - An Introduction to Business Statistics 146. Consider the following partial computer output from a simple linear regression analysis. S = 0.4862 R-Sq = 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 R-Sq = ______ 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) 1-1196 Chapter 01 - An Introduction to Business Statistics 148. Consider the following partial computer output from a simple linear regression analysis. S = 0.4862 R-Sq = ______ 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) 1-1197 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 R-Sq = 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.

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