The electric power consumed each month by a chemical plant is thought to be related to the average ambient temperature x1, the number of days in the month x2, the average product purity X3, and the tons of product produced X4. The past year's historical data are available and are presented in the following table. (a) Fit a multiple linear regression model using the above data set (b) Predict power consumption for a month in which x1 = 75°F, x2 = 24 days, x3 = 90%, and x4 = 98 tons.
The electric power consumed each month by a chemical plant is thought to be related to the average ambient temperature x1, the number of days in the month x2, the average product purity X3, and the tons of product produced X4. The past year's historical data are available and are presented in the following table. (a) Fit a multiple linear regression model using the above data set (b) Predict power consumption for a month in which x1 = 75°F, x2 = 24 days, x3 = 90%, and x4 = 98 tons.
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
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The electric power consumed each month by a chemical plant is thought to be related to the average ambient temperature x1, the number of days in the month x2, the average product purity X3, and the tons of product produced X4. The past year's historical data are available and are presented in the following table.
(a) Fit a multiple linear regression model using the above data set
(b) Predict power consumption for a month in which x1 = 75°F, x2 = 24 days, x3 = 90%, and x4 = 98 tons.
Transcribed Image Text:I4
24
240
236
290
274
301
316
300
296
267
276
25
31
45
60
65
72
80
84
21
24
25
25
26
25
25
24
25
91
90
88
87
91
94
87
86
88
91
100
95
110
88
94
99
97
96
110
105
75
60
288
261
50
25
23
90
89
100
98
38
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