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 240 236 290 274 301 316 316 300 296 267 276 288 261 4 251 5 60 5 2 0 4 5 0 0 8 I1 31 45 72 75 I2 65 25 60 24 50 21 38 24 25 80 25 87 84 25 86 88 91 26 94 24 I3 91 90 88 88 87 25 91 91 25 23 90 89 I4 100 95 110 88 94 *ēē58481 Ify=a + a₁x₁ + a₂x₁₂ + a₂²x₁₂ + ax₂₁₂ represents the regression model. What is the value of a? Use 2 decimal places. 0 11 22 4
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 240 236 290 274 301 316 316 300 296 267 276 288 261 4 251 5 60 5 2 0 4 5 0 0 8 I1 31 45 72 75 I2 65 25 60 24 50 21 38 24 25 80 25 87 84 25 86 88 91 26 94 24 I3 91 90 88 88 87 25 91 91 25 23 90 89 I4 100 95 110 88 94 *ēē58481 Ify=a + a₁x₁ + a₂x₁₂ + a₂²x₁₂ + ax₂₁₂ represents the regression model. What is the value of a? Use 2 decimal places. 0 11 22 4
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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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
301
301
316
300
296
267
276
288
261
21
25
31
45
60
00
65
05
72
12
80
84
75
60
50
38
Ify=a+a₁x₁ +
0 ²₁ ²²₁ +
X₂
24
21
X3
91
90
24
88
25 87
25
91
26
26
94
25
87
25
24
25
25
23
86
88
91
90
89
X4
100
95
110
88
94
99
97
a₂x₂₁₂+a;
a²₂²²₂₁ + a²₂²²²₂² +4²4!
96
110
105
100
98
+ ax represents the regression model. What is the value of a ? Use 2 decimal places.
0
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