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. y 240 236 290 274 414 301 316 300 000 296 267 276 288 261 x₁ 25 31 45 D₂ 24 21 24 25 O 25 20 I3 91 90 88 87 91 24 94 60 65 70 72 16 80 84 75 88 60 25 91 50 25 90 38 23 89 26 20 25 25 24 87 00 86 X4 100 95 110 88 94 2 99 OR 97 00 96 110 105 100 98 Predict power consumption for a month in which x₁ =75°F. x₂ =24 days, x3 =90%, andx4 = 98 tons. Use 1 decimal place.

Functions and Change: A Modeling Approach to College Algebra (MindTap Course List)
6th Edition
ISBN:9781337111348
Author:Bruce Crauder, Benny Evans, Alan Noell
Publisher:Bruce Crauder, Benny Evans, Alan Noell
Chapter5: A Survey Of Other Common Functions
Section5.3: Modeling Data With Power Functions
Problem 6E: Urban Travel Times Population of cities and driving times are related, as shown in the accompanying...
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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.
y
240
236
290
274
214
301
316
910
300
300
296
x1
25
31
45
60
00
65
99
72
14
X₂
24
21
24
25
20
25
20
26
20
25
20
80
90
84
267
75
276
60
288
50
261 38 23
25
24
24
25
25
X3
91
90
88
00
87
91
94
2
87
DA
86
20
88
91
90
89
X₁
100
95
110
88
94
99
97
96
110
105
100
98
Predict power consumption for a month in which x₁ =75°F, x₂ =24 days, x3 =90%, andx4 = 98 tons.
Use 1 decimal place.
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. y 240 236 290 274 214 301 316 910 300 300 296 x1 25 31 45 60 00 65 99 72 14 X₂ 24 21 24 25 20 25 20 26 20 25 20 80 90 84 267 75 276 60 288 50 261 38 23 25 24 24 25 25 X3 91 90 88 00 87 91 94 2 87 DA 86 20 88 91 90 89 X₁ 100 95 110 88 94 99 97 96 110 105 100 98 Predict power consumption for a month in which x₁ =75°F, x₂ =24 days, x3 =90%, andx4 = 98 tons. Use 1 decimal place.
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