Questions
A suburban hotel derives its revenue from its hotel and restaurant operations. The owners are interested...

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 65 14 $ 1,425 31
2 1,361 20 15 1,445 51
3 1,426 21 16 1,439 62
4 1,470 50 17 1,348 45
5 1,456 70 18 1,450 41
6 1,430 23 19 1,431 62
7 1,354 30 20 1,446 47
8 1,442 21 21 1,485 43
9 1,394 15 22 1,405 38
10 1,459 36 23 1,461 36
11 1,399 41 24 1,490 30
12 1,458 35 25 1,426 65
13 1,537 65
  1. Choose the scatter diagram that best fits the data.

Scatter diagram 1 Scatter diagram 2 Scatter diagram 3
  • Scatter diagram 1

  • Scatter diagram 2

  • Scatter diagram 3

  1. Determine the coefficient of correlation between the two variables. (Round your answer to 3 decimal places.)

  1. c-1. State the decision rule for 0.01 significance level: H0: ρ ≤ 0; H1: ρ > 0. (Round your answer to 3 decimal places.)

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

  1. c-3. Is it reasonable to conclude that there is a positive relationship between revenue and occupied rooms? Use the 0.01 significance level.

  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.)

In: Statistics and Probability

A suburban hotel derives its revenue from its hotel and restaurant operations. The owners are interested...

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.

Income Occupied
1452 30
1361 31
1426 32
1470 32
1456 30
1430 29
1354 31
1442 32
1394 33
1459 33
1399 30
1458 33
1537 32
1425 32
1445 30
1439 33
1348 31
1450 32
1431 30
1446 32
1485 30
1405 29
1461 31
1490 33
1426 30

Determine the coefficient of correlation between the two variables. (Round your answer to 3 decimal places.)

c-1. State the decision rule for 0.025 significance level: H0: ρ ≤ 0; H1: ρ > 0. (Round your answer to 3 decimal places.)

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

c-3. Is it reasonable to conclude that there is a positive relationship between revenue and occupied rooms? Use the 0.025 significance level.

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.)

In: Statistics and Probability

A suburban hotel derives its revenue from its hotel and restaurant operations. The owners are interested...

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 30 14 $ 1,425 31
2 1,361 29 15 1,445 34
3 1,426 31 16 1,439 34
4 1,470 32 17 1,348 31
5 1,456 32 18 1,450 30
6 1,430 32 19 1,431 30
7 1,354 29 20 1,446 31
8 1,442 30 21 1,485 34
9 1,394 32 22 1,405 30
10 1,459 32 23 1,461 32
11 1,399 31 24 1,490 30
12 1,458 31 25 1,426 30
13 1,537 34


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

Scatter diagram 1 Scatter diagram 2 Scatter diagram 3
  • Scatter diagram 1

  • Scatter diagram 2

  • Scatter diagram 3

  1. Determine the coefficient of correlation between the two variables. (Round your answer to 3 decimal places.)

Pearson correlation _______

  1. c-1. State the decision rule for 0.01 significance level: H0: ρ ≤ 0; H1: ρ > 0. (Round your answer to 3 decimal places.)

Reject H0 if t > ________

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

Value of the test statistic ______

  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.

In: Statistics and Probability

A suburban hotel derives its revenue from its hotel and restaurant operations. The owners are interested...

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 15 14 $ 1,425 65
2 1,361 20 15 1,445 51
3 1,426 21 16 1,439 62
4 1,470 15 17 1,348 45
5 1,456 37 18 1,450 41
6 1,430 29 19 1,431 62
7 1,354 23 20 1,446 47
8 1,442 15 21 1,485 43
9 1,394 58 22 1,405 38
10 1,459 62 23 1,461 51
11 1,399 74 24 1,490 61
12 1,458 88 25 1,426 39
13 1,537 62

1. Determine the coefficient of correlation between the two variables. (Round your answer to 3 decimal places.)

Pearson Correlation:

2.

c-1. State the decision rule for 0.01 significance level: H0: ρ ≤ 0; H1: ρ > 0. (Round your answer to 3 decimal places.)

Reject H0 if t >.   
  

c-2. Compute the value of the test statistic.

Value of the test statistic

D. 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.

In: Statistics and Probability

A suburban hotel derives its revenue from its hotel and restaurant operations. The owners are interested...

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 60 14 $ 1,425 31
2 1,361 20 15 1,445 51
3 1,426 21 16 1,439 62
4 1,470 80 17 1,348 45
5 1,456 70 18 1,450 41
6 1,430 29 19 1,431 62
7 1,354 30 20 1,446 47
8 1,442 21 21 1,485 43
9 1,394 15 22 1,405 38
10 1,459 36 23 1,461 36
11 1,399 41 24 1,490 30
12 1,458 35 25 1,426 65
13 1,537 51

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

b. Determine the coefficient of correlation between the two variables. (Round your answer to 3 decimal places.)

  1. c-1. State the decision rule for 0.01 significance level: H0: ρ ≤ 0; H1: ρ > 0. (Round your answer to 3 decimal places.)

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

  1. c-3. Is it reasonable to conclude that there is a positive relationship between revenue and occupied rooms? Use the 0.01 significance level.

d.

  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.)

In: Statistics and Probability

A suburban hotel derives its revenue from its hotel and restaurant operations. The owners are interested...

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 65 14 $ 1,425 31
2 1,361 20 15 1,445 51
3 1,426 21 16 1,439 62
4 1,470 50 17 1,348 45
5 1,456 70 18 1,450 41
6 1,430 23 19 1,431 62
7 1,354 30 20 1,446 47
8 1,442 21 21 1,485 43
9 1,394 15 22 1,405 38
10 1,459 36 23 1,461 36
11 1,399 41 24 1,490 30
12 1,458 35 25 1,426 65
13 1,537 65
  1. Choose the scatter diagram that best fits the data.

Scatter diagram 1 Scatter diagram 2 Scatter diagram 3
  • Scatter diagram 1

  • Scatter diagram 2

  • Scatter diagram 3

  1. Determine the coefficient of correlation between the two variables. (Round your answer to 3 decimal places.)

Pearson correlation _____

  1. c-1. State the decision rule for 0.01 significance level: H0: ρ ≤ 0; H1: ρ > 0. (Round your answer to 3 decimal places.)

Reject H0 if T> _____

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

Value of the test statistic _________

  1. c-3. Is it reasonable to conclude that there is a positive relationship between revenue and occupied rooms? Use the 0.01 significance level.

______ H0, it ______ reasonable to conclude that there is a positive relationship 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 occupied rooms.

In: Statistics and Probability

A suburban hotel derives its revenue from its hotel and restaurant operations. The owners are interested...

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 60 14 $ 1,425 31
2 1,361 20 15 1,445 51
3 1,426 21 16 1,439 62
4 1,470 80 17 1,348 45
5 1,456 70 18 1,450 41
6 1,430 29 19 1,431 62
7 1,354 30 20 1,446 47
8 1,442 21 21 1,485 43
9 1,394 15 22 1,405 38
10 1,459 36 23 1,461 36
11 1,399 41 24 1,490 30
12 1,458 35 25 1,426 65
13 1,537 51

In: Statistics and Probability

A suburban hotel derives its revenue from its hotel and restaurant operations. The owners are interested...

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 32 14 $ 1,425 29 2 1,361 30 15 1,445 31 3 1,426 33 16 1,439 33 4 1,470 33 17 1,348 30 5 1,456 33 18 1,450 34 6 1,430 29 19 1,431 30 7 1,354 29 20 1,446 30 8 1,442 30 21 1,485 30 9 1,394 32 22 1,405 32 10 1,459 30 23 1,461 32 11 1,399 33 24 1,490 32 12 1,458 31 25 1,426 33 13 1,537 34

Click here for the Excel Data File

Choose the scatter diagram that best fits the data.

Scatter diagram 1 Scatter diagram 2 Scatter diagram 3

Scatter diagram 1 Scatter diagram 2 Scatter diagram 3

Determine the coefficient of correlation between the two variables. (Round your answer to 3 decimal places.)

c-1. State the decision rule for 0.05 significance level: H0: ρ ≤ 0; H1: ρ > 0. (Round your answer to 3 decimal places.)

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

c-3. Is it reasonable to conclude that there is a positive relationship between revenue and occupied rooms? Use the 0.05 significance level. 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.)

In: Statistics and Probability

A suburban hotel derives its revenue from its hotel and restaurant operations. The owners are interested...

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 Income Occupied Day Income Occupied
1 $ 1,452 20 14 $ 1,425 31
2 1,361 20 15 1,445 51
3 1,426 21 16 1,439 62
4 1,470 80 17 1,348 45
5 1,456 70 18 1,450 41
6 1,430 29 19 1,431 62
7 1,354 70 20 1,446 47
8 1,442 21 21 1,485 43
9 1,394 15 22 1,405 38
10 1,459 36 23 1,461 36
11 1,399 41 24 1,490 30
12 1,458 35 25 1,426 65
13 1,537 51

  
Click here for the Excel Data File
  

Use a statistical software package to answer the following questions.
b.

Determine the coefficient of correlation between the two variables. (Round your answer to 3 decimal places.)

  Pearson correlation   

State the decision rule for 0.01 significance level: H0: ρ ≤ 0; H1: ρ > 0 (Round your answer to 3 decimal places.)

  Reject H0 if t >   
Compute the value of the test statistic. (Round your answer to 2 decimal places.)
  Value of the test statistic   
c.

Is it reasonable to conclude that there is a positive relationship between revenue and occupied rooms? Use the 0.01 significance level.

    (Click to select)  Reject  Fail to reject  H0, There is a  (Click to select)  no correlation  a negative correlation  a positive correlation  between revenue and occupied rooms.
d.

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.

In: Statistics and Probability

A suburban hotel derives its revenue from its hotel and restaurant operations. The owners are interested...

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 40 14 $ 1,425 31
2 1,361 20 15 1,445 51
3 1,426 21 16 1,439 62
4 1,470 54 17 1,348 45
5 1,456 62 18 1,450 41
6 1,430 29 19 1,431 62
7 1,354 22 20 1,446 47
8 1,442 21 21 1,485 43
9 1,394 15 22 1,405 38
10 1,459 65 23 1,461 36
11 1,399 41 24 1,490 61
12 1,458 35 25 1,426 65
13 1,537 51

Determine the coefficient of correlation between the two variables. (Round your answer to 3 decimal places.)

c-1. State the decision rule for 0.025 significance level: H0: ρ ≤ 0; H1: ρ > 0. (Round your answer to 3 decimal places.)

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

c-3. Is it reasonable to conclude that there is a positive relationship between revenue and occupied rooms? Use the 0.02 significance level.

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.)

In: Statistics and Probability