Basic 11.8 and assemble them for shipping. In order to assess the amount of time his assemblers devote to this task, the retailer takes a random sample of 100 orders and records the number of items in...


Basic<br>11.8<br>and assemble them for shipping. In order to assess the amount of time his assemblers devote to<br>this task, the retailer takes a random sample of 100 orders and records the number of items in<br>each order (Noltems) and the time needed to assemble the shipment.<br>An online retailer needs to manage the amount of time needed to select the ordered items<br>Time<br>4.8 14.7 13.7 9.5 2.4 11.8 10.5 12.0 14.3 16.4 17.9 14.5 16.7 20.1 16.8<br>Noltems 3 3 3 3 3 44 4 44 4 445<br>Time<br>20.8 26.8 12.9 13.0 15.4 10.8 20.3 22.3 20.0 21.9 20.7 20.9 19.9 17.1 19.1<br>NoItems 5 55 5 6 6<br>Time<br>6 666 6 7777<br>17.2 18.1 17.9 12.9 19.6 27.9 22.2 23.2 17.5 15.3 21.8 17.9 20.1 18.9 29.3<br>Noltems 78 8 8 888 9999 910 10 10<br>Time<br>21.5 26.5 28.2 25.1 26.1 28.2 22.3 21.8 25.5 24.4 18.1 26.7 24.6 30.1 21.5<br>Time<br>25.2 28.2 22.6 31.3 27.2 28.8 29.7 34.3 27.9 29.7 28.7 34.6 38.0 28.0 37.0<br>NoItems 17 18 18 18 19 20 21 22 23 24 2525 25 26 27<br>Time<br>32.5 39.5 39.0 37.0 35.5 38.3 44.0 39.6 42.3 34.6 44.9 47.4 49.2 45.8 44.0<br>NoItems 27 30 30 31 37 39 40 41 45 46<br>Time<br>46.1 42.9 48.3 46.0 48.2 54.7 49.9 55.4 57.1 52.4<br>b. Fit a least-squares line to the data, and comment on the degree of fit to the data.<br>c. Fit a regression model with the square root of Noltems as the explanatory<br>variable.<br>d. Which model produced a better fit to the data?<br>

Extracted text: Basic 11.8 and assemble them for shipping. In order to assess the amount of time his assemblers devote to this task, the retailer takes a random sample of 100 orders and records the number of items in each order (Noltems) and the time needed to assemble the shipment. An online retailer needs to manage the amount of time needed to select the ordered items Time 4.8 14.7 13.7 9.5 2.4 11.8 10.5 12.0 14.3 16.4 17.9 14.5 16.7 20.1 16.8 Noltems 3 3 3 3 3 44 4 44 4 445 Time 20.8 26.8 12.9 13.0 15.4 10.8 20.3 22.3 20.0 21.9 20.7 20.9 19.9 17.1 19.1 NoItems 5 55 5 6 6 Time 6 666 6 7777 17.2 18.1 17.9 12.9 19.6 27.9 22.2 23.2 17.5 15.3 21.8 17.9 20.1 18.9 29.3 Noltems 78 8 8 888 9999 910 10 10 Time 21.5 26.5 28.2 25.1 26.1 28.2 22.3 21.8 25.5 24.4 18.1 26.7 24.6 30.1 21.5 Time 25.2 28.2 22.6 31.3 27.2 28.8 29.7 34.3 27.9 29.7 28.7 34.6 38.0 28.0 37.0 NoItems 17 18 18 18 19 20 21 22 23 24 2525 25 26 27 Time 32.5 39.5 39.0 37.0 35.5 38.3 44.0 39.6 42.3 34.6 44.9 47.4 49.2 45.8 44.0 NoItems 27 30 30 31 37 39 40 41 45 46 Time 46.1 42.9 48.3 46.0 48.2 54.7 49.9 55.4 57.1 52.4 b. Fit a least-squares line to the data, and comment on the degree of fit to the data. c. Fit a regression model with the square root of Noltems as the explanatory variable. d. Which model produced a better fit to the data?

Jun 01, 2022
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