An online retailer needs to manage the amount of time needed to select the ordered items 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.
a. Plot the data on a scatterplot.
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?
e. Predict the amount of time needed to assemble a package containing 13 items using both models. Was there much difference in your predictions?

  • CreatedNovember 21, 2015
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