create a regression model with seasonality to forecast for months 37-54. please inlcude the regression equation in the explaination.

You have been tasked with creating a forecasting model for a product family of sofas at your facility. You are now at the end of Month 36. You searched your demand database and obtained the actual demand for the product family (refer to Table 1 below). Assignment: Create a linear regression model with seasonality to forecast for Months 37-54. Period Demand (units) 1000 800 750 730 720 690 680 650 640 700 850 900 1100 820 780 760 730 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 Month Jan Feb. Mar. Apr May June Jul Aug Sep Oct Nov. Dec. Jan Feb Mar. Apr May June Jul Aug Sep Oct. Nov , Dec Jan Feb Mar Apr. May June Jul Aug. Sep Oct. Non . Dec 750 660 660 660 780 920 1080 1250 1080 980 900 900 900 900 780 780 880 1150 1220 36