b. Determine the coefficient of correlation between the two variables. (Round your answer to 3 decimal places.) Pearson correlation c-1. State the decision rule for 0.10 significance level: Họ: ps0; H1: p> 0. (Round your answer to 3 decimal places.) Reject HO if t> c-2. Compute the value of the test statistic. (Round your answer to 2 decimal places.) Value of the test statistic c-3. Is it reasonable to conclude that there is a positive relationship between revenue and occupied rooms? Use the 0.10 significance level. H0, There is between revenue and occupied rooms. 1. What percent of the variation in revenue in the restaurant is accounted for by the number of rooms occupied? (Round your answer to 1 decimal place.) | % of the variation in revenue is explained by variation in occupied rooms.

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A suburban hotel derives its revenue from its hotel and restaurant operations. The owners are interested in the relationship between the number of rooms occupied on a nightly basis and the revenue per day in the restaurant. Below is a sample of 25 days (Monday through Thursday) from last year showing the restaurant income and number of rooms occupied.

 

Day Revenue Occupied Day Revenue Occupied
1   $ 1,452   23   14   $ 1,425   27  
2     1,361   47   15     1,445   34  
3     1,426   21   16     1,439   15  
4     1,470   39   17     1,348   19  
5     1,456   37   18     1,450   38  
6     1,430   29   19     1,431   44  
7     1,354   23   20     1,446   47  
8     1,442   44   21     1,485   43  
9     1,394   45   22     1,405   38  
10     1,459   16   23     1,461   51  
11     1,399   30   24     1,490   61  
12     1,458   42   25     1,426   39  
13     1,537   54                
 


 

 

 

Click here for the Excel Data File

 

 

  1. Choose the scatter diagram that best fits the data.

  2. Determine the coefficient of correlation between the two variables. (Round your answer to 3 decimal places.)
  3. c-1. State the decision rule for 0.10 significance level: H0: ρ ≤ 0; H1: ρ > 0. (Round your answer to 3 decimal places.)

  4. c-2. Compute the value of the test statistic. (Round your answer to 2 decimal places.)

  5. Is it reasonable to conclude that there is a positive relationship between revenue and occupied rooms? Use the 0.10 significance level.
  6. What percent of the variation in revenue in the restaurant is accounted for by the number of rooms occupied? (Round your answer to 1 decimal place.)

  7.  
b. Determine the coefficient of correlation between the two variables. (Round your answer to 3 decimal places.)
Pearson correlation
c-1. State the decision rule for 0.10 significance level: Họ: ps0; H1: p> 0. (Round your answer to 3 decimal places.)
Reject HO if t>
c-2. Compute the value of the test statistic. (Round your answer to 2 decimal places.)
Value of the test statistic
Transcribed Image Text:b. Determine the coefficient of correlation between the two variables. (Round your answer to 3 decimal places.) Pearson correlation c-1. State the decision rule for 0.10 significance level: Họ: ps0; H1: p> 0. (Round your answer to 3 decimal places.) Reject HO if t> c-2. Compute the value of the test statistic. (Round your answer to 2 decimal places.) Value of the test statistic
c-3. Is it reasonable to conclude that there is a positive relationship between revenue and occupied rooms? Use the 0.10
significance level.
H0, There is
between revenue and occupied
rooms.
1. What percent of the variation in revenue in the restaurant is accounted for by the number of rooms occupied? (Round
your answer to 1 decimal place.)
| % of the variation in revenue is explained by variation in occupied
rooms.
Transcribed Image Text:c-3. Is it reasonable to conclude that there is a positive relationship between revenue and occupied rooms? Use the 0.10 significance level. H0, There is between revenue and occupied rooms. 1. What percent of the variation in revenue in the restaurant is accounted for by the number of rooms occupied? (Round your answer to 1 decimal place.) | % of the variation in revenue is explained by variation in occupied rooms.
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