The sales data for fwo years are as follows. Data are apgregated with two morths of sales in each "period." a. Plot the data. Instructlons: 1. Click the "Sales" line sogment icon at the top right of graph. 2. Move your cursor to the opprovimate locaten for the first data point (x=1,y= first sales value). Left click to insert the point. Release the left mouse button. 3. Move your cursor to the approximate location for the second data point. Left click to insert the point fe line Sogment will automatically connect this new point to the previous point). Release the left mouse button. 4. Aepeat the above step for the remaining data points. 5. Click anywhere on the line segment between two points, A gear kon should appear. Click it to open the "line propertles" Window. 6. Enter the exact coordinates for all 12 points, Click "ok" when finished. b. Fit a simple tinear regression model to the sales data Note: Do not round intermediate calculations. Round your final answers to 2 decimal places. c. In addition to the regression model, determine multiplicative seasonal index. A full cycle is assumed to be a full year. Note: Do not round intermediate calculations. Round your and final onswers to 2 declmal places. d. Prepare sales forecasts for next year using both of your regression models derived above to show results both with and without adjustments for seasonality. Note: Do not round intermedlate calculations. Round your final answers to 1 decimal places