Number of Customers Day Tuesday Wednesday Thursday Friday Saturday Sunday Week 1 Week 2 52 48 36 32 35 30 89 97 98 99 65 69

10.  Lenovo uses the​ ZX-81 chip in some of its laptop computers. The prices for the chip during the last 4 months were as​ follows:                                                      Month Price Per Chip January ​$1.85 February ​$1.61 March ​$1.63 April ​$1.83   This exercise contains only parts​ a, b, and c. Part 2 ​a) Using a​ 2-month moving​ average, calculate the forecast for March and April ​(round your responses to two decimal ​places).   Month Mar Apr Forecast ​$________ ​$________

Suppose the weekly demand for a call centre is shown in the table below. Apply the moving average and exponential smoothing methods to forecast the demand for Week 17.Assume the following:Simple moving average method: two-week moving averageSingle exponential smoothing method: assume the 1st week forecast is 333 and α=0.65.Include the MSE, MAD and MAPE in your calculations. Based on your results, recommend which method should be used and give reasons to support your recommendation. Week Demand (Number of calls) 1 300 2 360 3 410 4 289 5 279 6 302 7 376 8 329 9 248 10 322 11 503 12 511 13 399 14 402 15 380 16 469

Need help with the forecast for year 10. Linear trend line

The department at a local department store has tracked the sales of a product over the last ten weeks. Forecast demand using exponential smoothing with an alpha of 0.3, and an initial forecast of 30.0 for period 1. a. Calculate the MAD covering periods 2-10. b. Calculate the tracking signal covering periods 2-10. c. What do you recommend? Period (t) Demand (At) 1 24 2 23 3 26 4 36 5 26 6 30 7 32 8 26 9 25 10 28

The demand data for Double T Computer Services appears below.  The company wants you to forecast the demand for period 4.  What is your forecast using the least squares method? Period Demand 1 37 2 40 3 40

Given an actual demand this period of 90, a forecast for this period of 58, and an alpha of 0.2, what would the forecast for the next period be using exponential smoothing?

pls help

A bakery called Sweet Treats operates in a busy downtown area. It is trying to decide whether to add another oven to its kitchen next year. The number of cakes baked over the last four quarters are as follows: Q1 = 950, Q2 = 1,100, Q3 = 1,050, and Q4 = 1,200 cakes. The forecast for cakes baked in the second quarter was 1,000 cakes. a)    What is the forecast for the fifth quarter using exponential smoothing with a = 0.15? b)    Given only what you learned in a, should the bakery add another oven?

Compile a forecast for sales in Q1, Q2, Q3, and Q4 for 2013.