A suburban hotel derives Its revenue from Its hotel and restaurant operations. The owners are Interested in the relationship between the number of rooms occupled 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 occupled. Revenue $ 1,425 1,445 1,439 1,348 1,450 1,431 1,446 1,485 1,405 1,461 1,490 1,426 Revenue $ 1,452 Occupied 31 Day occupied Day 1 72 14 15 51 1,361 1,426 1,470 1,456 1,430 1,354 1,442 1,394 1,459 1,399 1,458 1,537 2 20 3. 21 16 62 4. 25 17 45 70 18 41 23 19 62 20 20 47 39 21 43 15 22 38 10 50 23 36 11 41 24 60 12 35 25 65 13 41 PpictureClick here for the Excel Data File a. Choose the scatter diagram that best fits the data. Scatter diagram 1 scatter diagram 2 Scatter diagram 3 Scatterplot of Income vs Oecupled Scatterplot of Inceme vs Occupied Scatterplot of Income vs Occupied 1540 1540 1540 1440 1440 1440 1340 140 1340 20 40 se ce 29 50 20 Occupied Occopied Occupled O scatter dlagram 1 O scatter dlagram 2 O Scatter diagram 3 b. Determine the coefficlent of correlation between the two varlables. (Round your answer to 3 decimal places.) Pearson correlation
A suburban hotel derives Its revenue from Its hotel and restaurant operations. The owners are Interested in the relationship between the number of rooms occupled 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 occupled. Revenue $ 1,425 1,445 1,439 1,348 1,450 1,431 1,446 1,485 1,405 1,461 1,490 1,426 Revenue $ 1,452 Occupied 31 Day occupied Day 1 72 14 15 51 1,361 1,426 1,470 1,456 1,430 1,354 1,442 1,394 1,459 1,399 1,458 1,537 2 20 3. 21 16 62 4. 25 17 45 70 18 41 23 19 62 20 20 47 39 21 43 15 22 38 10 50 23 36 11 41 24 60 12 35 25 65 13 41 PpictureClick here for the Excel Data File a. Choose the scatter diagram that best fits the data. Scatter diagram 1 scatter diagram 2 Scatter diagram 3 Scatterplot of Income vs Oecupled Scatterplot of Inceme vs Occupied Scatterplot of Income vs Occupied 1540 1540 1540 1440 1440 1440 1340 140 1340 20 40 se ce 29 50 20 Occupied Occopied Occupled O scatter dlagram 1 O scatter dlagram 2 O Scatter diagram 3 b. Determine the coefficlent of correlation between the two varlables. (Round your answer to 3 decimal places.) Pearson correlation
Calculus For The Life Sciences
2nd Edition
ISBN:9780321964038
Author:GREENWELL, Raymond N., RITCHEY, Nathan P., Lial, Margaret L.
Publisher:GREENWELL, Raymond N., RITCHEY, Nathan P., Lial, Margaret L.
Chapter12: Probability
Section12.3: Conditional Probability; Independent Events; Bayes' Theorem
Problem 82E
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