INDTAP Connect - Class:. H Mail - Sanchez, B. nework 7 (Chapter 14) - Part A Q Search this COL The Wall Street Journal asked Concur Technologies, Inc., an expense managèment 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 (2) 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 û = 17.49 +1.0334. For these data SSE = 1541.4. %3D %3D Click on the datafile logo to reference the data. Use Table 1 of Appendix B. DATA file Room Rate Entertainment City ($) ($) Boston 148 161 96 105 Denver Nashville 91 101 110 142 New Orleans 90 100 Phoenix 102 120 San Diego 136 167 San Francisco 90 140 San Jose 82 98 Tampa a. Predict the amount spent on entertainment for a particular city that has a daily room rate of $89 (to 2 decimals). 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). %24 b. Develop a 95% confidence interval for the mean amount spent on entertainment for all cities that have a daily room rate of $89 (to 2 decimals). 2$ to $ to $ MacBook Air F12 F11 DD E10

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018

18th Edition

ISBN:9780079039897

Author:Carter

Publisher:Carter

Chapter4: Equations Of Linear Functions

Section4.5: Correlation And Causation

Problem 12PPS

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Transcribed Image Text:MINDTAP Connect - Class:. H Mail - Sanchez, B. nework 7 (Chapter 14) - Part A Q Search this COL The Wall Street Journal asked Concur Technologies, Inc., an expense managèment 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 (2) 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 û = 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. %3D %3D DATA file Room Rate Entertainment City ($) ($) Boston 148 161 Denver 96 105 Nashville 91 101 New Orleans 110 142 Phoenix 90 100 San Diego 102 120 San Francisco 136 167 90 140 San Jose 82 98 Tampa a. Predict the amount spent on entertainment for a particular city that has a daily room rate of $89 (to 2 decimals). 2$ 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 $ MacBook Air F12 F11 DD E10

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