Data 9.1 on page 525 introduces the dataset InkjetPrinters, which includes information on all-in-one printers. Two of

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Data 9.1 on page 525 introduces the dataset InkjetPrinters, which includes information on all-in-one printers. Two of the variables are Price (the price of the printer in dollars) and CostColor (average cost per page in cents for printing in color). Computer output for predicting the price from the cost of printing in color is shown:

The regression equation is Price = 378 - 18.6 CostColor Analysis of Variance DF MS 57604 4369 Source Regression Residual

(a) What is the predicted price of a printer that costs 10 cents a page for color printing?
(b) According to the model, does it tend to cost more or less (per page) to do color printing on a cheaper printer?
(c) Use the information in the ANOVA table to determine the number of printers included in the dataset.
(d) Use the information in the ANOVA table to compute and interpret R2.
(e) Is the linear model effective at predicting the price of a printer? Use information from the computer output and state the conclusion in context.


Data 9.1 on page 525

Suppose we are interested in purchasing a multifunction inkjet printer. How are performance factors related to the price of the printer? To investigate this question we checked reviews at PCMag.com for a sample of 20 all-in-one printers. The data stored in InkjetPrinters include:
PPM printing rate (pages per minute) for a benchmark set of print jobs
PhotoTime average time (in seconds) to print 4 × 6 color photos
CostBW average cost per page (in cents) for printing in black & white
CostColor average cost per page (in cents) for printing in color
Price typical retail price (in dollars) at the time of the review

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Statistics Unlocking The Power Of Data

ISBN: 9780470601877

1st Edition

Authors: Robin H. Lock, Patti Frazer Lock, Kari Lock Morgan, Eric F. Lock, Dennis F. Lock

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