Assignment:
The makers of a pie crust mix have baked test pies and collected the following data on y = amount of crispness (a rating of 1 to 100), x1 = minutes in the oven, and x2 = oven temperature (degrees Fahrenheit).
|
y
|
x1
|
x2
|
|
68
|
6.0
|
460
|
|
76
|
8 9
|
430
|
|
49
|
8.8
|
360
|
|
99
|
7.8
|
460
|
|
90
|
7.3
|
390
|
|
32
|
5.3
|
360
|
|
96
|
8.8
|
420
|
|
77
|
90
|
350
|
|
94
|
8.0
|
450
|
|
82
|
8 2
|
400
|
|
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 crispness rating for a pie that is baked for 5 minutes at 200 degrees?
Provide complete and step by step solution for the question and show calculations and use formulas.