The electric energy consumed each month by a manufacturingwarehouse is imagined to be linked to the ambient temperature, the number of days monthly, average product concentration, and products produced. The annual data based on last year are presented in the following table: a. Estimate the multiple regression equation. b. What is the r-squared value and what is its implication? c. What variable/s are considered significant? What is the p-value?
The electric energy consumed each month by a manufacturingwarehouse is imagined to be linked to the ambient temperature, the number of days monthly, average product concentration, and products produced. The annual data based on last year are presented in the following table: a. Estimate the multiple regression equation. b. What is the r-squared value and what is its implication? c. What variable/s are considered significant? What is the p-value?
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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The electric energy consumed each month by a manufacturingwarehouse is imagined to be linked to the ambient temperature, the number of days monthly, average product concentration, and products produced. The annual data based on last year are presented in the following table:
a. Estimate the multiple regression equation.
b. What is the r-squared value and what is its implication?
c. What variable/s are considered significant? What is the p-value?
Transcribed Image Text:Ambient
Temperature
25
31
45
60
65
72
80
84
75
60
50
38
Number of Days Average Product
Concentration
Monthly
24
91
21
90
24
88
87
91
25
25
26
25
25
24
25
25
23
94
87
86
88
91
90
89
Electric Energy
240
236
290
274
301
316
300
296
267
276
288
261
Products
Produced
100
95
110
88
94
99
97
96
110
105
100
98
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