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In exercise 12, the following data on x = average daily hotel room rate and y = amount spent on entertainment The Wall Street Journal, August 18, 2011) lead to the estimated regression equation y = 17.49 + 1.0334x. For these da SSE = 1 541 .4 Click on the datafile logo to reference the data. Use Table 1 of Appendix B. DATA file Entertainment ($) 161 105 101 142 100 120 167 140 98 Room Rate (S) 148 96 91 110 90 102 136 90 82 City Boston Denver Nashville New Orleans Phoenix San Diego San Francisco San Jose Tampa a. Predict the amount spent on entertainment for a particular city that has a daily room rate of $89 (to 2 decimals) $109.46 b. Develop a 95% confidence interval for the mean amount spent on entertainment for all cities that have a daily room rate of $89 (to 2 decimals) to $ c. The average room rate in Chicago is $128. Develop a 95% prediction interval for the amount spent on entertainment in Chicago (to 2 decimals) to $

In exercise 12, the following data on x = average daily hotel room rate and y = amount spent on entertainment The Wall Street Journal, August 18, 2011) lead to the estimated regression equation y = 17.49 + 1.0334x. For these da SSE = 1 541 .4 Click on the datafile logo to reference the data. Use Table 1 of Appendix B. DATA file Entertainment ($) 161 105 101 142 100 120 167 140 98 Room Rate (S) 148 96 91 110 90 102 136 90 82 City Boston Denver Nashville New Orleans Phoenix San Diego San Francisco San Jose Tampa a. Predict the amount spent on entertainment for a particular city that has a daily room rate of $89 (to 2 decimals) $109.46 b. Develop a 95% confidence interval for the mean amount spent on entertainment for all cities that have a daily room rate of $89 (to 2 decimals) to $ c. The average room rate in Chicago is $128. Develop a 95% prediction interval for the amount spent on entertainment in Chicago (to 2 decimals) to $

MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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100%
City Room Rate ($) Entertainment ($)
Boston 148 161
Denver 96 105
Nashville 91 101
New Orleans 110 142
Phoenix 90 100
San Diego 102 120
San Francisco 136 167
San Jose 90 140
Tampa 82 98
In exercise 12, the following data on x = average daily hotel room rate and y = amount spent on entertainment The Wall Street Journal, August 18, 2011) lead to the estimated regression equation y = 17.49 + 1.0334x. For these da SSE = 1 541 .4 Click on the datafile logo to reference the data. Use Table 1 of Appendix B. DATA file Entertainment ($) 161 105 101 142 100 120 167 140 98 Room Rate (S) 148 96 91 110 90 102 136 90 82 City Boston Denver Nashville New Orleans Phoenix San Diego San Francisco San Jose Tampa a. Predict the amount spent on entertainment for a particular city that has a daily room rate of $89 (to 2 decimals) $109.46 b. Develop a 95% confidence interval for the mean amount spent on entertainment for all cities that have a daily room rate of $89 (to 2 decimals) to $ c. The average room rate in Chicago is $128. Develop a 95% prediction interval for the amount spent on entertainment in Chicago (to 2 decimals) to $
Transcribed Image Text:In exercise 12, the following data on x = average daily hotel room rate and y = amount spent on entertainment The Wall Street Journal, August 18, 2011) lead to the estimated regression equation y = 17.49 + 1.0334x. For these da SSE = 1 541 .4 Click on the datafile logo to reference the data. Use Table 1 of Appendix B. DATA file Entertainment ($) 161 105 101 142 100 120 167 140 98 Room Rate (S) 148 96 91 110 90 102 136 90 82 City Boston Denver Nashville New Orleans Phoenix San Diego San Francisco San Jose Tampa a. Predict the amount spent on entertainment for a particular city that has a daily room rate of $89 (to 2 decimals) $109.46 b. Develop a 95% confidence interval for the mean amount spent on entertainment for all cities that have a daily room rate of $89 (to 2 decimals) to $ c. The average room rate in Chicago is $128. Develop a 95% prediction interval for the amount spent on entertainment in Chicago (to 2 decimals) to $
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