I need to check my calculations, I am pretty confident that I calculated correctly, but I want to be sure. Also, I am struggling with question 6. Please, please make sure to answer question 6. Thank you in advance for your help!

Forecasting

Historical demand for a product is:

Month	Demand
January	12
February	11
March	15
April	12
May	16
June	15

1. Using a weighted moving average with weights of 0.60, 0.30, and 0.10, find the July forecast.
2. Using a simple three-month moving average, find the July forecast.
3. Using single exponential smoothing with =0.2 and a June forecast = 13, find the July forecast.Make whatever assumptions you wish.
4. Using simple linear regression analysis, calculate the regression equation for the preceding demand data.
5. Using the regression equation in d, calculate the forecast for July.
6. Use MSE and MAD to evaluate performance of these models. Which model would you recommend for forecasting? Justify your answer.