# 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 daSSE = 1 541 .4Click on the datafile logo to reference the data. Use Table 1 of Appendix B.DATA fileEntertainment (\$)16110510114210012016714098Room Rate (S)1489691110901021369082CityBostonDenverNashvilleNew OrleansPhoenixSan DiegoSan FranciscoSan JoseTampaa. Predict the amount spent on entertainment for a particular city that has a daily room rate of \$89 (to 2 decimals)\$109.46b. 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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Asked Apr 30, 2019
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 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
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Step 1

The given estimated regression equation is y-hat = 17.49 + 1.0334x and the value of SSE is 1,541.4.

Here, the variable x is the average daily room rate and y is the amount spent on entertainment.

Daily room rate for a particular city is \$89, predict the amount spent on entertainment is,

Step 2

b.

Confidence interval:

The formula for 95% confidence interval is,

Step 3

The given SSE is...

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