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A hospital emergency room analyzed n = 17,664 hourly observations on its average occupancy rates using six binary predictors representing days of the week and two binary predictors representing the 8-hour work shift (12 a.m.–8 a.m., 8 a.m.–4 p.m., 4 p.m.–12 a.m.) when the ER census was taken. The fitted regression equation was AvgOccupancy = 11.2 + 1.19 Mon − 0.187 Tue − 0.785 Wed − 0.580 Thu − 0.451 Fri − 0.267 Sat − 4.58 Shift1 − 1.65 Shift2 (SE = 6.18, R2 = .094, R2adj = .093). (a) Why did the analyst use only six binaries for days when there are 7 days in a week? (b) Why did the analyst use only two work shift binaries when there are three work shifts? (c) Which is the busiest day? (d) Which is the busiest shift? (e) Interpret the intercept. (f) Assess the regression’s fit.
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Chapter 13 Solutions
Loose-leaf For Applied Statistics In Business And Economics
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- 2. Let X1, X2..... X, be independent random variables with expectation 0 and finite third moments. Show, with the aid of characteristic functions, that E(X₁ + X₂++X)³ = EX² + EX²++ EX₁₂-arrow_forward21 Check out the sales of a particular car across the United States over a 60-day period in the following figure. 800- 700- 600- Number of items sold 400 500- Line Graph of Sales 3001 16 12 18 24 30 36 42 48 54 60 60 Day a. Can you see a pattern to the sales of this car across this time period? b. What are the highest and lowest numbers of sales, and when did they occur? c. Can Can you estimate the average of all sales over this time period?arrow_forward11 Bob has glued himself to a certain slot machine for four hours in a row now with his bucket of coins and a bad attitude. He doesn't want to leave because he feels the longer he plays, the better chance he has t win eventually. Is poor Bob right?arrow_forward
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- 2 Suppose that you flip a coin four times, and it comes up heads each time. Does this outcome give you reason to believe that the coin isn't legitimate? dedo Raupnu stens My be sunildes ad ndaniver uoy no grin PALO STO 2010 COMO IT COUarrow_forward3 Consider tossing a fair coin 10 times and recording the number of heads that occur. a. How many possible outcomes would occur? b. What would be the probability of each of the outcomes? c. How many of the outcomes would have 1 head? What is the probability of 1 head in 10 flips? how d. How many of the outcomes would have o heads? What is the probability of o heads in 10 flips? e. What's the probability of getting 1 head or less on 10 flips of a fair coin?arrow_forward22 Bob decides that after his heart attack is a good time to get in shape, so he starts exer- cising each day and plans to increase his exercise time as he goes along. Look at the two line graphs shown in the following fig- ures. One is a good representation of his data, and the other should get as much use as Bob's treadmill before his heart attack. Exercise time 40 Line Graph 1 of Exercise Log 35 30- 25 201 20 Exercise time 80 80 60 40- 1 10 20 30 30 40 50 60 Day 170 50 80 Line Graph 2 of Exercise Log 1 10 20 90 100 30 30 40 50 60 70 80 90 100 Day a. Compare the two graphs. Do they repre- sent the same data set, or do they show totally different data sets? b. Assume that both graphs are made from the same data. Which graph is more appropriate and why?arrow_forward
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