If the forecasted value of the time series variable for one period is 28.5 and the actual value observed for the same period is 32, what is the forecast error for that period?   Question 19 options:   3.5   2   -3.5   4

Question 3 ABC Restaurant has made a forecast for last week's operations vs Actual result of the forecast last week. Period Monday Tuesday Wednesday Thursday Friday Actual 112 110 113 120 140 Forecast 115. 1041 110 115 135 Using this table above, solve for Mean Absolute Percent Error (MAPE) Note Round up to the last 2 decimals, example 9.6568->9 66 3

Q20

OQ6

Question 21 Using the moving average can create some problems in the forecast. Which of the following is NOT a problem related to using the moving average? Increasing n smooths the forecast but makes it less sensitive to changes The forecast is created with very little data, likely not reflecting the requirements very accurately Requires extensive historical data O Does not forecast trends well

Explain the effects it does on the no. Of cycles in a moving average have on the forecasts responsiveness ?

Using exponential smoothing with alpha = .2, and assuming the forecast for period 11 was 80, what would the forecast for period 14 be?

Question 1. The dean of a school of business is forecasting total student enrollment for this year (2019ys summer session classes based on the following historical data: YEAR TOTAL ENROLLMENT y 2,000 2,200 2,800 3,000 2015 2016 2017 2018 a) What is this year's forecast using a three-year simple moving average?

QUESTION 4 Suppose the following are the seasonal indices for the first three quarters of the year for a quarterly series:  Quarter Seasonal Index Q1 72.4 Q2 85.3 Q3 109.6      Remember that the seasonal indices should average 100 so you should be able to infer the seasonal index for Q4. Furthermore, suppose that the estimated coeffcients from a regression of the deseasonalized series on Time are given below:    Coefficients Intercept 2,506 Time 71.3  If the original value of the series in a Q1 was 2,040, then what is the seasonally adjusted value? (please round your answer to 1 decimal place)

Please do not give solution in image format thanku A small manufacturing firm has recorded a time series of the cost per unit for the firm’s leading product over the past eight years. Year 1 2 3 4 5 6 7 8 Cost/Unit ($) 20 24.5 28.2 27.5 26.6 30 31 36 a) If you are not given a base value or trend, what would be the forecast for the year 10 made at the end of year 8 (α=0.2, β=0.4). b) Forecast for the year 9 using 1) 5-month weighted average using 0.1,0.1,0.1,0.2,0.3, with the heaviest weight applied to the recent month 2) Exponential smoothing using α =0.2 and forecast of 21 for year 5 3) If α value was not provided in the question above, what value of α would you choose?