The Wall Street Journal asked Concur Technologies, Inc., an expense management company, to examine data from 8.3 million expense reports to provide insights regarding business travel expenses. Their analysis of the data showed that New York was the most expensive city. The following table shows the average daily hotel room rate () and the average amount spent on entertainment (y) for a random sample of 9 of the 25 most-visited U.S. cities. These data lead to the estimated regression equation=17.49+1.0334x. For these data SSE=1541.4. Click on the datafile logo to reference the data. Use Table 1 of Appendix B. DATA file Room Rate Entertainment ($) ($) 148 161 96 105 91 101 110 142 100 120 167 140 98 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). $ 90 102 136 90 82 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 8 $ 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 $ s
The Wall Street Journal asked Concur Technologies, Inc., an expense management company, to examine data from 8.3 million expense reports to provide insights regarding business travel expenses. Their analysis of the data showed that New York was the most expensive city. The following table shows the average daily hotel room rate () and the average amount spent on entertainment (y) for a random sample of 9 of the 25 most-visited U.S. cities. These data lead to the estimated regression equation=17.49+1.0334x. For these data SSE=1541.4. Click on the datafile logo to reference the data. Use Table 1 of Appendix B. DATA file Room Rate Entertainment ($) ($) 148 161 96 105 91 101 110 142 100 120 167 140 98 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). $ 90 102 136 90 82 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 8 $ 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 $ s
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
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
Transcribed Image Text:The Wall Street Journal asked Concur Technologies, Inc., an expense management company, to examine data from 8.3 million expense reports to provide insights regarding business travel expenses. Their analysis of
the data showed that New York was the most expensive city. The following table shows the average daily hotel room rate (*) and the average amount spent on entertainment (y) for a random sample of 9 of the 25
most-visited U.S. cities. These data lead to the estimated regression equation ŷ = 17.49 +1.0334x. For these data SSE = 1541.4. Click on the datafile logo to reference the data. Use Table 1 of Appendix B.
DATA file
City
Boston
Denver
Nashville
New Orleans
Phoenix
San Diego
San Francisco
San Jose
Room Rate
($)
148
96
91
110
90
102
136
90
82
Tampa
a. Predict the amount spent on entertainment for a particular city that has a daily room rate of $89 (to 2 decimals).
$
Entertainment
($)
161
105
101
142
*****
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 $
S
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