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: $y =$ Retail PRICE (measured in dollars)
$x _ { 1 } =$ Microprocessor SPEED (measured in megahertz)
(Values in sample range from 10 to 40 )
$x _ { 2 } =$ 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:

Identify and interpret the estimate of $\beta _ { 2 }$.

Question

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: $y =$ Retail PRICE (measured in dollars)
$x _ { 1 } =$ Microprocessor SPEED (measured in megahertz)
(Values in sample range from 10 to 40 )
$x _ { 2 } =$ 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:

Identify and interpret the estimate of $\beta _ { 2 }$.

Quizplus · Accepted Answer

The Answer of 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: $y =$ Retail PRICE (measured in dollars)
$x _ { 1 } =$ Microprocessor SPEED (measured in megahertz)
(Values in sample range from 10 to 40 )
$x _ { 2 } =$ 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:

Identify and interpret the estimate of $\beta _ { 2 }$.

Retail Price Data for N = 60 Hard Disk Drives y=y =y=

Retail Price Data for N = 60 Hard Disk Drives $y =$