A consumer analyst collected the following data on the screen sizes of popular LCD televisions sold recently at a large retailer:

Manufacturer	Screen		Price
Sharp	45		$2,430.50
Samsung	41		2,383.00
Samsung	37		1,756.00
Sony	28		1,360.00
Sharp	32		1,114.50
Samsung	50		2,850.00
Samsung	51		1,182.00
Sharp	33		1,273.50
Sharp	34		1,249.00
Sony	32		1,394.00
Sony	35		1,997.00
Samsung	25		950.00
Sharp	50		2,932.50
Sharp	54		3,150.00
Sharp	25		780.00
Samsung	28		1,039.50
Sharp	42		1,980.50
Samsung	42		2,233.50
Sony	52		2,998.50
Sony	35		1,931.00
Sony	34		1,893.00
Sony	32		1,200.00
Sony	36		1,607.50

(b)

Which variable is the "dependent" variable?

	Screen size
	Price

(c-1)

Use statistical software to determine the regression equation. (Round your answers to the nearest whole number. Negative amounts should be indicated by a minus sign.)

Price = + Screen.

(c-2)

Interpret the value of the slope in the regression equation. (Round your answer to the nearest whole number.)

For each inch increase in screen size, the price increases $ on average.

(d)

Include the manufacturer in a multiple linear regression analysis using a "dummy" variable. Does it appear that some manufacturers can command a premium price? Hint: You will need to use a set of indicator variables. (Round your answers to 2 decimal places. Negative amounts should be indicated by a minus sign.)

Price = + Screen + Manufacturer Sharp + Manufacturer Sony

(e)	Test each of the individual coefficients to see if they are significant. (Round your answers to 2 decimal places.

Predictor	T	P
Screen
Manufacturer_Sharp
Manufacturer_Sony