In: Finance
Year |
Annual Sales (number of products) |
Year |
Annual Sales (number of products) |
1 |
490 |
5 |
461 |
2 |
487 |
6 |
475 |
3 |
492 |
7 |
472 |
4 |
478 |
8 |
458 |
a) Use simple linear regression to forecast annual demand for the products for each of the next three (3) years, by using the tabular method to:
i. derive the values for the intercept and slope
ii. derive the linear equation
iii. develop a forecast for the firm’s annual sales for each of the next three years
i. Explain the difference between qualitative and quantitative approaches to forecasting.
ii. Describe three (3) qualitative methods used in forecasting.
iii. Given the following data of demand for shopping carts at a leading supermarket. Prepare a forecast for period 6 using each of the following approaches:
Period |
1 |
2 |
3 |
4 |
5 |
Demand |
60 |
65 |
55 |
58 |
64 |
iv. The manager of a large cement production factory in Road Town, Tortola has to choose between two alternative forecasting techniques. His production staff used both techniques in order to prepare forecasts for a six-month period. Using MAD as a criterion, which technique has the better performance record?
FORECAST |
|||
MONTH |
DEMAND |
TECHNIQUE 1 |
TECHNIQUE 2 |
1 |
492 |
488 |
495 |
2 |
470 |
484 |
482 |
3 |
485 |
480 |
478 |
4 |
493 |
490 |
488 |
5 |
498 |
497 |
492 |
6 |
492 |
493 |
493 |
i. Compute a three-period moving average and a four-period moving average for weeks 5, 6, and 7.
ii. Compute the MAD for both forecasting methods.
iii. Which model is more accurate?
iv. Forecast week 8 with the more accurate method.
Month |
Sale of bats |
1 |
119 |
2 |
147 |
3 |
189 |
4 |
217 |
5 |
133 |
6 |
119 |
7 |
147 |
Months |
Nov. |
Dec. |
Jan. |
Feb. |
Mar. |
April |
Quantity |
37 |
36 |
40 |
42 |
47 |
43 |
i. Based on the above data calculate the demand for May using a five month moving average
ii. Calculate the forecast for May based on a THREE month weighted moving average applied to the following past demand data and using the weights: 4, 3, 2 (largest weight is for most recent data)?
iii. Using the exponential forecasting technique with a smoothing constant value of 0.2 and an initial value of 40, forecast the quantity of cars that will be demanded for May.
Regression function of excel can be used to find the values of intercept and slope.
Regression settings: