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 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 = + ) . Month + ( ) . Jan + ( ) . Feb + ( ) . Mar + ( ) . Apr + ( ) . May + ( ) . Jun +( ) . Jul+( ) . Aug + ( ) . Sep ( [) . Oct + ( ) (Type integers or decimals rounded to two decimal places as needed.)Coal consumption data Month and Year Consumption Month Jan 1990 16.20 Feb 1990 14.91 Mar 1990 12.42 Apr 1990 12.00 May 1990 8.07 Jun 1990 8.41 Jul 1990 12.20 Aug 1990 11.23 Sep 1990 9.22 Oct 1990 9.38 Nov 1990 14.10 11 Dec 1990 24.28 12 Jan 1991 19.59 13 Feb 1991 13.69 14 Mar 1991 12.20 15 Apr 1991 9.02 16 May 1991 7.33 17 Jun 1991 7.14 18 Jul 1991 9.56 19 Aug 1991 8.62 20 Sep 1991 7.08 21 Oct 1991 7.87 22 Nov 1991 15.35 23 Dec 1991 19.77 24 Jan 1992 16.62 25 Feb 1992 13.14 26