The accompanying dataset shows the monthly coal consumption (in trillions of BTUS) over the course of three years. Develop a multiple regression model with categorical variables that incorporate seasonality for forecasting coal Click the icon to view the coal consumption data. Develop a multiple regression model with categorical variables that incorporate seasonality for forecasting coal consumption, where December is the reference month. Consumption =+O-Month + O- Jan +O Feb +(O- Mar + O-Apr + O • May + Jun + (D- Jul + )- Aug + (O- Sep + (•Oct +- Nov (Type integers or decimals rounded to two decimal places as needed)
The accompanying dataset shows the monthly coal consumption (in trillions of BTUS) over the course of three years. Develop a multiple regression model with categorical variables that incorporate seasonality for forecasting coal Click the icon to view the coal consumption data. Develop a multiple regression model with categorical variables that incorporate seasonality for forecasting coal consumption, where December is the reference month. Consumption =+O-Month + O- Jan +O Feb +(O- Mar + O-Apr + O • May + Jun + (D- Jul + )- Aug + (O- Sep + (•Oct +- Nov (Type integers or decimals rounded to two decimal places as needed)
Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter4: Equations Of Linear Functions
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![The accompanying dataset shows the monthly coal consumption (in trillions of BTUS) over the course of three years. Develop a multiple regression model with categorical variables that incorporate seasonality for forecasting coal consumption
Click the icon
view the coal consumption data.
Develop a multiple regression model with categorical variables that incorporate seasonality for forecasting coal consumption, where December is the reference month.
Consumption =+O- Month + - Jan +O Feb + (- Mar + (- Apr + • May +. Jun + (- Jul + )- Aug + ()- Sep + (.Oct + (-Nov
(Type integers or decimals rounded
two decimal places as needed )](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F6835fe2b-4dfe-4db0-80f6-f1ad78fce3f2%2Fe717f6c4-ec93-43c5-9d87-17f172d4caa1%2F16e7ria_processed.jpeg&w=3840&q=75)
Transcribed Image Text:The accompanying dataset shows the monthly coal consumption (in trillions of BTUS) over the course of three years. Develop a multiple regression model with categorical variables that incorporate seasonality for forecasting coal consumption
Click the icon
view the coal consumption data.
Develop a multiple regression model with categorical variables that incorporate seasonality for forecasting coal consumption, where December is the reference month.
Consumption =+O- Month + - Jan +O Feb + (- Mar + (- Apr + • May +. Jun + (- Jul + )- Aug + ()- Sep + (.Oct + (-Nov
(Type integers or decimals rounded
two decimal places as needed )
![Month and Year Consumption
Month
Jan 1990
Feb 1990
Mar 1990
16.20
14.91
12.42
Apr 1990
May 1990
Jun 1990
12.00
8.07
8.41
Jul 1990
Aug 1990
Sep 1990
Oct 1990
Nov 1990
Dec 1990
12.20
11.23
9.22
9.38
14.10
24.28
11
Jan 1991
19.59
13
Feb 1991
13.69
14
Mar 1991
Apr 1991
May 1991
Jun 1991
12.20
9.02
7.33
16
17
7.14
18
Jul 1991
9.56
8.62
Aug 1991
Sep 1991
Oct 1991
20
7.08
21
7.87
22
Nov 1991
15.35
23
Dec 1991
19.77
24
Jan 1992
16.62
25
Feb 1992
13.14
26
Mar 1992
11.77
12.06
27
Apr 1992
May 1992
Jun 1992
7.09
29
6.53
30
31
32
Jul 1992
10.66
Aug 1992
Sep 1992
Oct 1992
8.79
8.21
8.19
14.53
33
Nov 1992
35
Dec 1992
20.82
36
1234567890N2Bさ5omB98588388588588398](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F6835fe2b-4dfe-4db0-80f6-f1ad78fce3f2%2Fe717f6c4-ec93-43c5-9d87-17f172d4caa1%2F1allup_processed.jpeg&w=3840&q=75)
Transcribed Image Text:Month and Year Consumption
Month
Jan 1990
Feb 1990
Mar 1990
16.20
14.91
12.42
Apr 1990
May 1990
Jun 1990
12.00
8.07
8.41
Jul 1990
Aug 1990
Sep 1990
Oct 1990
Nov 1990
Dec 1990
12.20
11.23
9.22
9.38
14.10
24.28
11
Jan 1991
19.59
13
Feb 1991
13.69
14
Mar 1991
Apr 1991
May 1991
Jun 1991
12.20
9.02
7.33
16
17
7.14
18
Jul 1991
9.56
8.62
Aug 1991
Sep 1991
Oct 1991
20
7.08
21
7.87
22
Nov 1991
15.35
23
Dec 1991
19.77
24
Jan 1992
16.62
25
Feb 1992
13.14
26
Mar 1992
11.77
12.06
27
Apr 1992
May 1992
Jun 1992
7.09
29
6.53
30
31
32
Jul 1992
10.66
Aug 1992
Sep 1992
Oct 1992
8.79
8.21
8.19
14.53
33
Nov 1992
35
Dec 1992
20.82
36
1234567890N2Bさ5omB98588388588588398
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