N N N Occup 1,452 1,361 1,426 1,470 1,456 1,430 1,354 1,442 1,394 1,459 1,399 1,458 1,537 23 14 15 $ 1,425 27 47 1,445 1,439 34 21 16 15 39 17 1,348 1,450 1,431 1,446 1,485 1,405 1,461 1,490 1,426 19 37 18 38 29 19 44 23 20 47 44 21 43 45 22 38 16 51 30 61 42 25 39 54

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Income
田
Income
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. Following is a sample of 25 days (Monday
through Thursday) from last year showing the restaurant income and number of rooms occupied.
Day
Revenue Occupied
$ 1,452
1,361
1,426
1,470
1,456
1,430
1,354
1,442
1,394
1,459
Day
14
Revenue
Occupied
23
$ 1,425
1,445
1,439
1,348
1,450
1,431
1,446
1,485
1,405
1,461
27
47
15
34
21
16
15
39
17
19
37
18
38
6.
29
19
44
23
20
47
8.
44
21
43
45
22
38
10
16
23
51
11
30
1,399
1,458
1,537
24
1,490
61
12
42
25
1,426
39
13
54
pictureClick here for the Excel Data File
a. Choose the scatter diagram that best fits the data.
Scatter diagram 1
Scatter diagram 2
Scatter diagra
Scatterplot of Income vs ccupied
Scatterplot of Income vs Occupied
Scatterplot of Income vs
1560
1600
1550
1550
1500
1500
1500
1460
1460-
1450
1400
1400
1400
1360
1350
1350
1300
1300
1260
1260
1300
10
10
20
30
50
60
20
30
10
20
30
40
50
60
70
Occinied
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Ch13 40 18e.xlsx
Transcribed Image Text:Income 田 Income 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. Following is a sample of 25 days (Monday through Thursday) from last year showing the restaurant income and number of rooms occupied. Day Revenue Occupied $ 1,452 1,361 1,426 1,470 1,456 1,430 1,354 1,442 1,394 1,459 Day 14 Revenue Occupied 23 $ 1,425 1,445 1,439 1,348 1,450 1,431 1,446 1,485 1,405 1,461 27 47 15 34 21 16 15 39 17 19 37 18 38 6. 29 19 44 23 20 47 8. 44 21 43 45 22 38 10 16 23 51 11 30 1,399 1,458 1,537 24 1,490 61 12 42 25 1,426 39 13 54 pictureClick here for the Excel Data File a. Choose the scatter diagram that best fits the data. Scatter diagram 1 Scatter diagram 2 Scatter diagra Scatterplot of Income vs ccupied Scatterplot of Income vs Occupied Scatterplot of Income vs 1560 1600 1550 1550 1500 1500 1500 1460 1460- 1450 1400 1400 1400 1360 1350 1350 1300 1300 1260 1260 1300 10 10 20 30 50 60 20 30 10 20 30 40 50 60 70 Occinied < Prev 3 of 10 Next > Ch13 40 18e.xlsx
O Scatter diagram 1
O Scatter diagram 2
O Scatter diagram 3
b. Determine the coefficient of correlation between the two variables. (Round your answer to 3 decimal places.)
Pearson correlation
0.406
c-1. State the decision rule for 0.10 significance level: Ho: ps0; H:p>0. (Round your answer to 3 decimal places.)
Reject Ho if t>
1.320
c-2. Compute the value of the test statistic. (Round your answer to 2 decimal places.)
Value of the test statistic
2.13
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Ch13 40 18e.xlsx
Transcribed Image Text:O Scatter diagram 1 O Scatter diagram 2 O Scatter diagram 3 b. Determine the coefficient of correlation between the two variables. (Round your answer to 3 decimal places.) Pearson correlation 0.406 c-1. State the decision rule for 0.10 significance level: Ho: ps0; H:p>0. (Round your answer to 3 decimal places.) Reject Ho if t> 1.320 c-2. Compute the value of the test statistic. (Round your answer to 2 decimal places.) Value of the test statistic 2.13 < Prev Next > 3 of 10 Ch13 40 18e.xlsx
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a)

scatter plot of income vs occupied 

Statistics homework question answer, step 1, image 1

scatter diagram 1 is right option .

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