A suburban hotel derives Its revenue from Its hotel and restaurant operations. The owners are Interested in the relationship betweenthe number of rooms occupled on a nightly basis and the revenue per day in the restaurant. Following is a sample of 25 days (Mondaythrough Thursday) from last year showing the restaurant Income and number of rooms occupled.Revenue$ 1,425DayRevenueoccupiedDayoccupied$ 1,4521,3611,4261,4701,4561,4301,3541,4421,3941,4591,3991,4581,53717214311,4451,4391,3481,4501,4311,4461,4851,4051,4611,4901,4262015512116624.25174570184123196272020473921431522381050233611412460123525651341EpictureClick here for the Excel Data Filea. Choose the scatter dlagram that best fits the data.scatter diagram 1Scatter diagram 2Scatter diagram 3Scatterplot of Income vs OccupiedScatterplot of Income vs OccupiedScatterplot of Income vs Occupled1540154015401440144014401340134020239304050202040OccupiedOccupledOccupiedO scatter dlagram 1O scatter dlagram 2O Scatter diagram 3b. Determine the coefficlent of correlation between the two varlables. (Round your answer to 3 decimal places.)Pearson correlation c-1. State the decislon rule for 0.01 significance level: Ha: ps 0; H: 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 statisticc-3. Is It reasonable to conclude that there Is a positive relationship between revenue and occupled rooms? Use the 0.01 significancelevel.Ho. There isbetween revenue and occupied rooms.d. What percent of the varlation In revenue in the restaurant Is accounted for by the number of rooms occupled? (Round your answerto 1 declmal 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 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