Retail price data for n = 60 hard disk drives were recently extracted from a computer magazine. Three of the many variables recorded for each hard disk drive were: y = Retail PRICE (measured in dollars) 7:] = Mcroprocessor SPEED (measured in megahertz) (Values in sample range from 10 to 40) x2 = CHIP size (measured in computer processing units) (Values in sample range from 286 to 486) The data were used to t a regression model. Predictor DF Coef SE coef T P Constant l -373.526392 1258.1243396 -0.297 0.7676 SPEED 1 104.838940 2236298195 4.688 0.0001 CHIP 1 3.571850 3.89422935 0.917 0.3629 Interpret the estimate for the SPEED -coefcient, $1 = 105. Select one: 0 a. For every 1-megahertz increase in SPEED, we estimate PRICE to increase $105. 0 b. For every 1-megahertz increase in SPEED, we estimate CHIP size to increase 105. O c. For every 1-megahertz increase in SPEED, we estimate PRICE (y) to increase $105, holding CHIP fixed. 0 d. The Bestimate has no practical interpretation. 0 e. For every $1 increase in PRICE, we estimate SPEED to increase 105 megahertz, holding CHIP fixed