Determine the least-squares multiple regression equation

Reference no: EM13995413

The makers of a pie crust mix have baked test pies and collected the following data on y 5 amount of crispness (a rating of 1 to 100), x1 5 minutes in the oven, and x2 5 oven temperature (degrees Fahrenheit).

during the following week. The results are shown in the				y	x1	x2
table below.				68	6.0	460
New Ad Column- Discount				76	8.9	430
Club	Visitors, y	Inches, x1	Amount, x2	49	8.8	360
1	23	4	$100	99	7.8	460
2	30	7	20	90	7.3	390
3	20	3	40	32	5.3	360
4	26	6	25	96	8.8	420
5	20	2	50	77	9.0	350
6	18	5	30	94	8.0	450
7	17	4	25	82	8.2	400
8	31	8	80	97	6.4	450

a. Determine the least-squares multiple regression equation.

b. Interpret the y-intercept and partial regression coefficients.

c. What is the estimated number of new visitors to a club if the size of the ad is 5 column-inches and a $75 discount is offered?

a. Determine the least-squares multiple regression equation.

b. Interpret the y-intercept and partial regression coefficients.

c. What is the estimated crispness rating for a pie that is baked for 5 minutes at 200 degrees?

Reference no: EM13995413

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