Perform a least-squares regression analysis on Garfields data.

Garfield Company manufactures a popular brand of dog repellant known as DogGone It, which it sells in gallon-size bottles with a spray attachment. The majority of Garfields business comes from orders placed by homeowners who are trying to keep neighborhood dogs out of their yards. Garfields operating information for the first six months of the year follows:

Month	Number of Bottles Sold	Operating Cost
January	990	$	10,500
February	1,370		15,750
March	1,750		15,940
April	2,350		19,570
May	3,440		27,150
June	3,650		34,840

	Coefficients
Intercept	2946.767
X Variable 1	7.828

Variable Cost	9.15
Fixed Cost	1443

4.

Perform a least-squares regression analysis on Garfields data. (Use Microsoft Excel or a statistical package to find the coefficients using least-squares regression. Round your answers to 3 decimal places.)

	Coefficients
Intercept	???
X Variable 1

5.

Determine how well this regression analysis explains the data. (Round your answer to the nearest whole number.)

Regression Statistics
Multiple R	?????
R Square	?????
Adjusted R Square	?????
Standard Error	?????
Observations	?????
From the regression output, number of bottles explains about	??????		% of the variability in Garfield's total cost

6. Using the regression output, create a linear cost equation (y = a + bx) for estimating Garfields operating costs. (Round your answers to 3 decimal places.)

Total Cost

?????

+

?????

(Number of Bottles)