Suppose we are interested in purchasing a multi-functioning inkjet printer. We want to see how the performance factors related to the price of the printer. Collected data from 20 printers include below information.

PPM: Printing rate (pages per minutes) for a set of print jobs

Price: Typical retail price (in dollars) at the time of the review.

(Data is not provided to you, but the default MINITAB output is provided to you. As you can see it is a partial output where you have to do some calculations using the provided information. Use the provided output to answer below questions.)

Regression Analysis: Price versus PPM Analysis of Variance Source DF Adj 55 Adj MS F-Value P-Value Regression 74540 74540 21.75 0.000 PPM 1 74540 74540 21 75 0.000 Error 18 61697 3428 Lack-of-Fit 11 44191 4017 1.61 0.271 Pure Error 7 17506 2501 Total 19 136237 Model Summary S R-sq R-sqladj) R-sq(pred) 58.5457 54.71% 52.20% 42.25% Coefficients Term Coef SE Coef T-Value P-Value VIF Constant -94.2 56.4 -1.67 0.112 PPM 90.9 19.5 100Prediction Fit SE Fit 95% CI 95% PI 178412 13.5786 (149 885, 206.940) (52 1476, 304.677)