8 see pictures to solve 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 consumptionClick the iconview 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 roundedtwo decimal places as needed ) Month and Year ConsumptionMonthJan 1990Feb 1990Mar 199016.2014.9112.42Apr 1990May 1990Jun 199012.008.078.41Jul 1990Aug 1990Sep 1990Oct 1990Nov 1990Dec 199012.2011.239.229.3814.1024.2811Jan 199119.5913Feb 199113.6914Mar 1991Apr 1991May 1991Jun 199112.209.027.3316177.1418Jul 19919.568.62Aug 1991Sep 1991Oct 1991207.08217.8722Nov 199115.3523Dec 199119.7724Jan 199216.6225Feb 199213.1426Mar 199211.7712.0627Apr 1992May 1992Jun 19927.09296.53303132Jul 199210.66Aug 1992Sep 1992Oct 19928.798.218.1914.5333Nov 199235Dec 199220.82361234567890N2Bさ5omB98588388588588398

Name: 8 see pictures to solve The accompanying dataset shows the monthly coa
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Description: 8 see pictures to solve 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 coa