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. ... 240 236 290 274 24 25 31 45 91 90 88 87 91 94 100 95 21 110 88 94 99 24 60 65 72 25 25 26 301 316 300 296 267 276 25 25 24 25 25 23 87 86 88 91 90 89 97 96 110 105 80 84 75 60 288 261 50 38 100 98 (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.

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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.
...
240
236
290
274
24
25
31
45
91
90
88
87
91
94
100
95
21
110
88
94
99
24
60
65
72
25
25
26
301
316
300
296
267
276
25
25
24
25
25
23
87
86
88
91
90
89
97
96
110
105
80
84
75
60
288
261
50
38
100
98
(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: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. ... 240 236 290 274 24 25 31 45 91 90 88 87 91 94 100 95 21 110 88 94 99 24 60 65 72 25 25 26 301 316 300 296 267 276 25 25 24 25 25 23 87 86 88 91 90 89 97 96 110 105 80 84 75 60 288 261 50 38 100 98 (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.
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