Month Year Units Jan 1 39,820 Feb 1 40,091 Mar 1 47,450 Apr 1 47,307 May 1 49,221 Jun 1 51,489 Jul 1 46,476 Aug 1 45,218 Sep 1 44,810 Oct 1 46,999 Nov 1 42,171 Dec 1 44,196 Jan 2 42,237 Feb 2 45,432 Mar 2 54,085 Apr 2 50,936 May 2 53,582 Jun 2 54,930 Jul 2 54,459 Aug 2 56,089 Sep 2 52,187 Oct 2 50,097 Nov 2 48,523 Dec 2 49,288 Jan 3 48,144 Feb 3 54,897 Mar 3 61,074 Apr 3 53,360 May 3 59,477 Jun 3 59,380 Jul 3 55,098 Aug 3 59,359 Sep 3 54,482 Oct 3 53,174 Nov 3 48,803 Dec 3 46,966

The accompanying dataset shows the monthly number of new car sales in the last three years. Develop a multiple regression model with categorical variables that incorporate seasonality for forecasting sales. Click the icon to view the new car sales data. 968EEE Develop a multiple regression model with categorical variables that incorporate seasonality for forecasting sales, where December is the reference month. Units - (+ )Year+ ) Jan+ ()-Feb + ) Mar+ Apr+ ) May+ ) Jun+O) Jul+ ) Aug+(). Sep+ ( ) Oct+ ()- Nov (Round to the nearest Integer as needed.) Now develop the best subset model by iteratively eliminating all insignificant variables, using c = 0.10 for the level of significance. Select the correct choice below and fill in the answer boxes to complete your choices. (Round to the nearest integer as needed.) O A. Units - +O). Year+ ).Jan+ (O)-Feb+ ) Apr+ ).May+ (3) Jun+((Jul+() Sep+ ).Oct+ (O). Nov New Car Sales Data OB. Units - + ). Year+ ) Jan+(). Mar+ ). Apr+(?). May+ (1) Jun+().Jul+ (2) Aug+ (). Sep+ ().Oct C. Units - +OJan+ (O)- Feb+O) Mar+ (O)-May+ (O). Jun+O) Jul+ - Sep+ Oct+ O)-Nov Month Year Units Jan 39,820 Feb 40,091 Mar 47,450 Apr 47,307 May 49,221 51,489 46,476 45,218 44,810 46.999 42,171 44,196 Jan 42,237 Feb 45,432 Mar 54,085 Apr 50,936 May 53,582 Jun 54,930 54,459 Aug 56,089 Sep 52,187 50,097 48,523 Dec 49,288 48,144 Feb 54,897 Mar 61,074 Apr 53,360 May 59,477 59,380 55,098 59.359 Sep 54,482 Oct 53, 174 Click to select your answer(s). 48,803 Dec 3 46,966 Oct Nov Jan Jun Aug NOW The accompanying dataset shows the monthly number of new car sales in the last three years. Develop a multiple regression model with categorical variables that incorporate seasonality for forecasting sales. Click the icon to view the new car sales data. 968EEE Develop a multiple regression model with categorical variables that incorporate seasonality for forecasting sales, where December is the reference month. Units - (+ )Year+ ) Jan+ ()-Feb + ) Mar+ Apr+ ) May+ ) Jun+O) Jul+ ) Aug+(). Sep+ ( ) Oct+ ()- Nov (Round to the nearest Integer as needed.) Now develop the best subset model by iteratively eliminating all insignificant variables, using c = 0.10 for the level of significance. Select the correct choice below and fill in the answer boxes to complete your choices. (Round to the nearest integer as needed.) O A. Units - +O). Year+ ).Jan+ (O)-Feb+ ) Apr+ ).May+ (3) Jun+((Jul+() Sep+ ).Oct+ (O). Nov New Car Sales Data OB. Units - + ). Year+ ) Jan+(). Mar+ ). Apr+(?). May+ (1) Jun+().Jul+ (2) Aug+ (). Sep+ ().Oct C. Units - +OJan+ (O)- Feb+O) Mar+ (O)-May+ (O). Jun+O) Jul+ - Sep+ Oct+ O)-Nov Month Year Units Jan 39,820 Feb 40,091 Mar 47,450 Apr 47,307 May 49,221 51,489 46,476 45,218 44,810 46.999 42,171 44,196 Jan 42,237 Feb 45,432 Mar 54,085 Apr 50,936 May 53,582 Jun 54,930 54,459 Aug 56,089 Sep 52,187 50,097 48,523 Dec 49,288 48,144 Feb 54,897 Mar 61,074 Apr 53,360 May 59,477 59,380 55,098 59.359 Sep 54,482 Oct 53, 174 Click to select your answer(s). 48,803 Dec 3 46,966 Oct Nov Jan Jun Aug NOW