question 3 only please

Teverage monthly forecast (that can also be referred to as non-seasonal exponentially smoothed or rolling moving average forecast) at the start of November (F) is 700 units Alpha (a) equals 0.15 Seasonalty factors Oct 0.30 (SFAC) Nov.0.70 Dec 120 Jan. 1.50 Feb 110 3. Continuing from question 2: a. what is the forecast error (FE) from November? b. If the running sum of algebraic forecast errors at the end of October was: 1-105, what is this sum as of the end of November? 4. Continuing from question 2, as of December 1, what is the seasonal forecast for January? 5. Continuing from question 2, it is now the beginning of January. Actual seasonal December demand came in at 770. Calculate the revised average forecast as of Jan. 1. 6. Continuing from question 5, as of January 15, what is the seasonal forecast for January? 7. Continuing from question 5, it is now the beginning of February. Actual seasonal January demand came in at 1020. Calculate the revised average forecast as of Feb. 1. 8. Continuing from question 7, as of February 1", what is the seasonal forecast for February? The average monthly forecast (that can also be referred to as non-seasonal, exponentially smoothed, or rolling moving average forecast) at the start of November (F.) is 700 units. Alpha (@) equals 0.15 Seasonality factors: Oct 0.80 (SFAC) Nov.0.70 Deo, 1.20 Jan. 1.50 Feb. 1.10 Use the spaces between the questions to calculate your answers. CIRCLE the answer to each question to avoid any misunderstanding. If submitting using plain paper, write the question number and then show your calculations and answer for the question 1 At this point in time (the beginning of November), what is the seasonal forecast for November? 2 2. It is now the beginning of December. Actual seasonal November demand came in at 530. Calculate the revised average forecast as of Dec. 1". Teverage monthly forecast (that can also be referred to as non-seasonal exponentially smoothed or rolling moving average forecast) at the start of November (F) is 700 units Alpha (a) equals 0.15 Seasonalty factors Oct 0.30 (SFAC) Nov.0.70 Dec 120 Jan. 1.50 Feb 110 3. Continuing from question 2: a. what is the forecast error (FE) from November? b. If the running sum of algebraic forecast errors at the end of October was: 1-105, what is this sum as of the end of November? 4. Continuing from question 2, as of December 1, what is the seasonal forecast for January? 5. Continuing from question 2, it is now the beginning of January. Actual seasonal December demand came in at 770. Calculate the revised average forecast as of Jan. 1. 6. Continuing from question 5, as of January 15, what is the seasonal forecast for January? 7. Continuing from question 5, it is now the beginning of February. Actual seasonal January demand came in at 1020. Calculate the revised average forecast as of Feb. 1. 8. Continuing from question 7, as of February 1", what is the seasonal forecast for February? The average monthly forecast (that can also be referred to as non-seasonal, exponentially smoothed, or rolling moving average forecast) at the start of November (F.) is 700 units. Alpha (@) equals 0.15 Seasonality factors: Oct 0.80 (SFAC) Nov.0.70 Deo, 1.20 Jan. 1.50 Feb. 1.10 Use the spaces between the questions to calculate your answers. CIRCLE the answer to each question to avoid any misunderstanding. If submitting using plain paper, write the question number and then show your calculations and answer for the question 1 At this point in time (the beginning of November), what is the seasonal forecast for November? 2 2. It is now the beginning of December. Actual seasonal November demand came in at 530. Calculate the revised average forecast as of Dec. 1