Historical demand for a product is as follows. Use this data for all questions below. 1) Calculate a forecast for October based on a simple three-month moving average. \% Grade 2) Calculate a forecast for October based on a weighted moving average. Use a (20%) weight factor of 60% for the most recent month, 30% two months ago, and 10% three months ago. 3) This time, calculate a forecast for October based on exponential smoothing with (20\%) a=0.2 and a September forecast =76 4) Develop a simple linear regression model based on historical demand data (20%) between January - September. - Use Excel to develop a scatter plot of the historical data, with x-axis for time and y-axis for demand. - Display the linear trend line on your chart. - Find the slope and y-intercept of your linear regression model. - Include all of the above information in your submission. You can copy your Excel chart and paste it into the file you are submitting in Canvas, and be sure to report slope and y-intercept in your response (Only submit one file in Canvas for all problems) 5) Use your linear regression model from problem #4 to calculate demand forecasts for the next three months (October. November, and December). Show your calculation steps