One of the biggest factors in determining the value of a home is the square footage. The accompanying data represent the square footage and selling price (in thousands of dollars) for a random sample of homes for sale in a certain region.

Square Footage, x	Selling Price ($000s), y
2307		395.9
3031		351.6
1095		184.8
1997		341.5
3182		631.5
2787		373.1
4264		651
2277		387.2
2551		415.9
1697		296.2
1705		258.3
3786

(c) Determine the linear correlation coefficient between square footage and asking price.

r=enter your response here

(Round to three decimal places as needed.)

Part 4

(d) Is there a linear relation between square footage and asking price?

(e) Find the least-squares regression line treating square footage as the explanatory variable.

y=enter your response herex+enter your response here

(Round the slope to three decimal places as needed. Round the intercept to one decimal place as needed.)

Part 6

(f) Interpret the slope. Select the correct choice below and, if necessary, fill in the answer box to complete your choice.

A.For every additional thousand dollars in selling price, the square footage

increases

by

enter your response here

square feet, on average.

(Round to three decimal places as needed.)

B.For a house that is 0 square feet, the predicted selling price is

enter your response here

thousand dollars.

(Round to three decimal places as needed.)

C.For a house that is sold for $0, the predicted square footage is

enter your response here.

(Round to three decimal places as needed.)

D.For every additional square foot, the selling price

increases

by

enter your response here

thousand dollars, on average.

(Round to three decimal places as needed.)

E.

It is not appropriate to interpret the slope.

Part 7

(g) Is it reasonable to interpret the y-intercept? Why? Select the correct choice below and, if necessary, fill in the answer box to complete your choice.

A.

Noa

house of

enter your response here

square feet is not possible.

B.

Yesa

house of

enter your response here

square feet is possible and within the scope of the model.

C.

Noa

house of

enter your response here

square feet is not possible and outside the scope of the model.

D.

Noa

house of

enter your response here

square feet is outside the scope of the model

E.

More information about the houses is necessary before deciding.

Part 8

(h) One home that is

1409

square feet is sold for

$260

thousand. Is this home's price above or below average for a home of this size?

The home's price is

above

below

the average price. The average price of a home that is

1409

square feet is

$enter your response here

thousand.

(Round to the nearest whole number as needed.)

PLEASE NEED ASAP