1) In R, run a log-log regression where log of water usage is the dependent variable and logarithms of temperature, production, days, and persons are independent variables. Interpret the results using HW Template (overall significance test, R-sq, adjusted R-sq, do hypothesis tests for all slopes(whether each coefficient estimate is statistically significant or not), and interpret values of all coefficients.) 2) In R, run a log-lin regression where log of water usage is the dependent variable and temperature, production, days, and persons are independent variables. Interpret the results using HW Template (overall significance test, R-sq, adjusted R-sq, do hypothesis tests for all slopes, and interpret values of all coefficients.)
1) In R, run a log-log regression where log of water usage is the dependent variable and logarithms of temperature, production, days, and persons are independent variables. Interpret the results using HW Template (overall significance test, R-sq, adjusted R-sq, do hypothesis tests for all slopes(whether each coefficient estimate is statistically significant or not), and interpret values of all coefficients.) 2) In R, run a log-lin regression where log of water usage is the dependent variable and temperature, production, days, and persons are independent variables. Interpret the results using HW Template (overall significance test, R-sq, adjusted R-sq, do hypothesis tests for all slopes, and interpret values of all coefficients.)
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
Related questions
Question
1) In R, run a log-log regression where log of water usage is the dependent
variable and logarithms of temperature, production, days, and persons are
independent variables. Interpret the results using HW Template (overall significance
test, R-sq, adjusted R-sq, do hypothesis tests for all slopes(whether each coefficient
estimate is statistically significant or not), and interpret values of all coefficients.)
2) In R, run a log-lin regression where log of water usage is the dependent variable
and temperature, production, days, and persons are independent variables. Interpret
the results using HW Template (overall significance test, R-sq, adjusted R-sq, do
hypothesis tests for all slopes, and interpret values of all coefficients.)
Transcribed Image Text:Variable Description
Temperature Average monthly temperate (degrees F)
Prod Amount of production (millions of pounds)
Days Number of plant operating days in the month
Persons Number of persons on the monthly plant payroll
Water Monthly water usage (gallons)
Transcribed Image Text:Temp Prod
73
70.9
63.9
54.5
77.4
79.3
63
71.9
39.5
58.8
44.5
43.6
56
64.7
73
78.9
79.4
6373
6796
13526
12656
9208
14792
14564
11964
14119
7107
16691
14571
13619
14575
14556
18573
15618
Days
222
23
20
20
4222~~~~~~~
25
23
20
20
21
19
21
21
Persons Water
141
153
186
190
166
193
189
175
187
129
195
206
198
192
191
200
200
2828
2891
3060
3211
2994
3082
3898
3502
3286
3067
3542
3125
3022
2922
3950
4488
3295
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