Given an actual demand this period of 103, a forecast value for this period of 99, and an alpha of .4, what is the exponential smoothing forecast for next period? Forecast [Blank1] O 94.6 O 103.0 O 100.6 O 97.4

8.6 Using exponential smoothing, calculate the forecasts for months 2, 3, 4, 5, and 6. The smoothing constant is 0.2, and the old forecast for month 1 is 245. Month 1 2 3 4 5 6 LO Actual Demand 260 230 225 245 250 Forecast Demand

Considering the fact that the number of students is relatively constant throughout the academic year, the college's cafeteria is planning for the second semester based of the actual sales the first semester. Month Actual Sales of Fall 2016 Forecast of Spring 2017 September 250   October 300   November 280   December 200   With the given information, can the forecast of November be obtained using a 3-month weighted moving average? Explain you answer.

Assume Sandra's forecasted ADR for the night is $1600.99. What would be her estimated total room revenue for this day? ADR = Total room revenue / Number of rooms sold

Using naïve method to make a forecast involving data with trend, the forecasted sales volume for week 4 must be ________ units if the actual sales are 500, 510, and 508 in weeks 1, 2, & 3, respectively: *       o 506 o 508 o 510 o 500

Consider the following yearly demand values for a particular product. Year Demand 1 360 389 3 410 4 381 368 374 (a) Produce forecast for year 4,5,6, and 7 by using 3-week moving average. (b) Produce forecast for year 4,5,6, and 7 by using 3-week weighted moving average where weights are as follows; wt–3 = .1, wt-2 = .3, and wt-1 = .6. (c) Produce forecast for year 4,5,6, and 7 by using exponential smoothing with a = .2. Please assume that the forecast for the first year is 360.

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?

What effect does the number of cycles in a moving average have on the forecast's responsiveness?

(4) Exponential smoothing with a smoothing constant equal to 0.15, assuming a March forecast of 15(000). (Round your intermediate forecast values and final answer to 2 decimal places.) Forecast thousands (5) A linear trend equation. (Round your intermediate calculations and final answer to 2 decimal places.) Yt thousands

Use simple exponential smoothing with a=0.6 to forecast chargers sales for February through May. Assume that the forecast for January was 24 chargers. *** Month January Charger Sales 42 February 33 March 28 April 59 May ? a) What will be the forecast for May? b) Calculate the MSE.