Retail Price Data for N = 60 Hard Disk Drives $\mathrm { y } =$

Retail price data for n = 60 hard disk drives were recently reported in a computer
magazine. Three variables were recorded for each hard disk drive: $\mathrm { y } =$ Retail PRICE (measured in dollars)
$\mathrm { x } _ { 1 }$ = Microprocessor SPEED (measured in megahertz)
(Values in sample range from 10 to 40 )
$\mathrm { x } _ { 2 } = \mathrm { CHIP }$ size (measured in computer processing units)
(Values in sample range from 286 to 486 )
A first-order regression model was fit to the data. Part of the printout follows:


Interpret the $95 \%$ prediction interval for $y$ when $x _ { 1 } = 33$ and $x _ { 2 } = 386$ .