Historical demand for a product is as follows:
| DEMAND | |
| April | 59 |
| May | 54 |
| June | 74 |
| July | 59 |
| August | 79 |
| September | 74 |
a. Using a simple four-month moving average, calculate a forecast for October. (Round your answer to 2 decimal places.)
Forecast for October
b. Using single exponential smoothing with α = 0.30 and a September forecast = 64, calculate a forecast for October. (Round your answer to 2 decimal places.)
Forecast for October
c. Using simple linear regression, calculate the trend line for the historical data. Say the X axis is April = 1, May = 2, and so on, while the Y axis is demand. (Round your intercept value to the nearest whole number and slope value to 2 decimal places.)
Y = + t
d. Calculate a forecast for October using your regression formula. (Round your answer to 2 decimal places.)
Forecast for October
Historical demand for a product is as follows: DEMAND April 59 May 54 June 74 July...
DEMAND April 71 May 66 June 91 July 71 August 96 September 91 1. Using single exponential smoothing with α = 0.20 and a September forecast = 49, calculate a forecast for October. 2.Using simple linear regression, calculate the trend line for the historical data. Say the X axis is April = 1, May = 2, and so on, while the Y axis is demand. (Round your intercept value to the nearest whole number...
2. The historical demand for a product is below. Please forecast the demand in April. Month Sales (a) Use a 3-month simple moving average. 1 (January) 33 (b) Use a 3-month weighted moving average with weights of 0.6, 0.3, and 0.1. 2 (February) 36 © Use exponential smoothing with a = 0.8 and a March forecast = 37. 3 (March) 39 (d) Find trend line y=a+bx, and then forecast demand. (3 points)
2. The historical demand for a product is below. Please forecast the demand in April. Month Sales (a) Use a 3-month simple moving average. 1 (January) 33 (b) Use a 3-month weighted moving average with weights of 0.6, 0.3, and 0.1. 2 (February) 36 (c) Use exponential smoothing with a = 0.8 and a March forecast = 37. 3 (March) 39 (d) Find trend line y = a+bx, and then forecast demand. (3 points)
The historical demand for a product is as follows: Month Demand January 12 February 11 March 15 April 12 May 16 June 15 Stating any assumptions that you make answer the following questions. (i) Using a weighted moving average with weights of 0.60 for June; 0.30 for May and 0.10 for April, find the July forecast. (4 marks) (ii) Using a simple three-month moving average, find the July forecast. (4 marks) (iii) Using simple exponential smoothing with α=0,2 and a...
The following table contains the demand from the last 10 months: MONTH ACTUAL DEMAND 1 33 2 29 3 32 4 33 5 35 6 32 7 35 8 42 9 44 10 45 a. Calculate the single exponential smoothing forecast for these data using an α of 0.10 and an initial forecast (F1) of 33. (Round your answers to 2 decimal places.) b. Calculate the exponential smoothing with trend forecast for these data using an α of 0.10, a...
The following table contains the demand from the last 10 months: MONTH ACTUAL DEMAND 1 34 2 37 3 38 4 37 5 40 6 37 7 42 8 44 9 41 10 42 a. Calculate the single exponential smoothing forecast for these data using an ? of 0.20 and an initial forecast (F1) of 34. (Round your intermediate calculations and answers to 2 decimal places.) Month Exponential Smoothing 1 2 3 4 5 6 7 8 9 10 b....
The following table contains the demand from the last 10 months: MONTH ACTUAL DEMAND 1 36 2 38 3 40 4 41 5 43 6 42 7 43 8 45 9 46 10 48 a. Calculate the single exponential smoothing forecast for these data using an α of 0.30 and an initial forecast (F1) of 36. (Round your intermediate calculations and answers to 2 decimal places.) b. Calculate the exponential smoothing with trend forecast for these data using an α...
The following table contains the demand from the last 10 months: MONTH ACTUAL DEMAND 1 27 2 29 3 33 4 41 5 44 6 43 7 44 8 46 9 47 10 41 a. Calculate the single exponential smoothing forecast for these data using an α of 0.30 and an initial forecast (F1) of 27. (Round your intermediate calculations and answers to 2 decimal places.) Month Exponential Smoothing 1 27 2 27 3 27.6 4 29.22 5 32.75 6...
The following table contains the demand from the last 10 months: answer to all the boxes plz MONTH ACTUAL DEMAND 1 31 2 34 3 35 4 39 5 40 6 45 7 45 8 47 9 43 10 44 a. Calculate the single exponential smoothing forecast for these data using an α of 0.30 and an initial forecast (F1) of 31. (Round your intermediate calculations and answers to 2 decimal places.) Month Exponential Smoothing 1 2 3 4 5...
Assume that your stock of sales merchandise is maintained based on the forecast demand. If the distributor's sales personnel call on the first day of each month, compute your forecast sales by each of the three methods requested here. ACTUAL June 154 July 194 August 225 a. Using a simple three-month moving average, what is the forecast for September? (Round your answer to 2 decimal places.) b. Using a weighted moving average, what is the forecast for September with weights...