Question

Data collected on the yearly registrations for a Six Sigma seminar at the Quality College are...

Data collected on the yearly registrations for a Six Sigma seminar at the Quality College are shown in the following​ table:

Year

1

2

3

4

5

6

7

8

9

10

11

Registrations (000)

5.00

7.00

5.00

5.00

9.00

9.00

8.00

11.00

13.00

14.00

15.00

​a) Calculate the forecasted registrations for years 2 through 12 using exponential​ smoothing, with a smoothing constant (α​) of 0.30 and a starting forecast of 6.00 for year 1

Year

1

2

3

4

5

6

7

8

9

10

11

12

Forecast​ (000)

6.00

nothing

nothing

nothing

nothing

nothing

nothing

nothing

nothing

nothing

nothing

b.)Mean absolute deviation based on the forecast developed using the exponential smoothing method​ (with a smoothing constant (α​)=0.30 and a starting forecast of F1=6.00 is ___ registrations

Homework Answers

Answer #1

Actual Demand for month t= At

Forecast for month t = Ft

Smoothing constant = Alpha

Ft+1 = Ft + Alpha*(At - Ft)

Absolute Deviation in forecast = |At - Ft|

Mean Absolute Deviation (MAD) = Average of absolute deviation over period 1 to 11 = 2.33 registrations

Know the answer?
Your Answer:

Post as a guest

Your Name:

What's your source?

Earn Coins

Coins can be redeemed for fabulous gifts.

Not the answer you're looking for?
Ask your own homework help question
Similar Questions
1) Data collected on the yearly demand for 50-pound bags of fertilizer at Wallace Garden Supply...
1) Data collected on the yearly demand for 50-pound bags of fertilizer at Wallace Garden Supply are shown in the following table . YEAR DEMAND FOR FERTILIZER (1,000S OF BAGS) 1 4 2 6 3 4 4 5 5 10 6 8 7 7 8 9 9 12 10 14 11 15 a) Develop a 3-year moving averages model to forecast sales. b) Develop a 3-year weighted moving averages model in which sales in the most recent year are given...
Consider the following time series data. Week 1 2 3 4 5 6 Value 19 12...
Consider the following time series data. Week 1 2 3 4 5 6 Value 19 12 16 11 18 13 (b) Develop the three-week moving average forecasts for this time series. (Round your answers to two decimal places.) Week Time Series Value Forecast 1 19 2 12 3 16 4 11 5 18 6 13 Compute MSE. (Round your answer to two decimal places.) MSE =   What is the forecast for week 7? (c) Use α = 0.2 to compute...
Calculate Beta using a regression analysis in excel and the data below. Discuss/interpret the meaning of...
Calculate Beta using a regression analysis in excel and the data below. Discuss/interpret the meaning of the X variable (Beta) and the intercept. What is the relationship between the market and Zcorp? Year Market Zcorp 1 18.70% 20.00% 2 8.00% 9.00% 3 -11.00% -13.00% 4 15.00% 17.00% 5 22.50% 18.00% 6 13.70% 12.00% 7 40.00% 39.00% 8 10.00% 9.00% 9 -9.00% -10.00% 10 -4.00% -6.00%
For the data given below, forecast period 17 using following methods and suggest the best forecasting...
For the data given below, forecast period 17 using following methods and suggest the best forecasting model 1. Simple Moving Average (Three Period) 2. Weighted Average (50% on t-1, 30% on t-2, 20% on t-3) 3. Exponential Smoothing (α=.1), F1= y intercept from regression) 4. Exponential Smoothing (α=.3), F1= y intercept from regression) 5. Exponential Smoothing with trend (α=.3) and (δ=.3), F1= y intercept from regression)** 5. Exponential Smoothing with trend (α=.1) and (δ=.3), F1= y intercept from regression)** 6....
Suppose ten weeks of data on the Commodity Futures Index are 7.34, 7.39, 7.54, 7.56, 7.61,...
Suppose ten weeks of data on the Commodity Futures Index are 7.34, 7.39, 7.54, 7.56, 7.61, 7.52, 7.51, 7.71, 7.63, and 7.55. (a) What type of pattern exists in the data? The data appear to follow a seasonal pattern. The data appear to follow a cyclical pattern.      The data appear to follow a trend pattern. The data appear to follow a horizontal pattern. (b)Compute the exponential smoothing forecasts for α = 0.2. (Round your answers to two decimal places.) Week...
Your manager is trying to determine what forecasting method to use. Based upon the following historical...
Your manager is trying to determine what forecasting method to use. Based upon the following historical data, calculate the following forecast and specify what procedure you would utilize. - PLEASE show all work in Excel including formulas. a. Calculate the simple three-month moving average forecast for periods 4-12. b. Calculate the weighted three-month moving average using weights of 0.50, 0.30, and 0.20 for periods 4-12. c. Calculate the single exponential smoothing forecast for periods 2-12 using an initial forecast (F1)...
Many forecasting models use parameters that are estimated using nonlinear optimization. For instance, the basic exponential...
Many forecasting models use parameters that are estimated using nonlinear optimization. For instance, the basic exponential smoothing model for forecasting sales is      ŷ(t + 1) = αyt + (1 - α) ŷt      where      ŷt + 1 = forecast of sales for period t + 1      yt = actual sales for period t      ŷt = forecast of sales for period t      α = smoothing constant, 0 ≤ α ≤ 1 Click on the datafile logo to reference the data. This model...
URGENT Is the answer for question 4 24.88 or 24.53??? Consider the following annual series on...
URGENT Is the answer for question 4 24.88 or 24.53??? Consider the following annual series on the number of people assisted by a county’s human resources department. Year People (in 100s) 1 22 2 24 3 28 4 24 5 22 6 24 7 20 8 26 9 24 10 28 11 26 1) What is the 3-year moving average for period 4? Select one: a. 26.00 b. 23.33 c. 24.67 d. 29.4 e. 22.00 2) What is the 3-year...
produces two basic types of​ weight-lifting equipment, Model 9 and Model 14. Pertinent data are as​...
produces two basic types of​ weight-lifting equipment, Model 9 and Model 14. Pertinent data are as​ follows: A B C 1 Per Unit 2 Model 9 Model 14 3 Selling price $110.00 $100.00 4 Costs 5 Direct material 22.00 10.00 6 Variable direct manufacturing labor 13.00 27.00 7 Variable manufacturing overhead 20.00 10.00 8 Fixed manufacturing overhead* 5.00 2.50 9 Marketing (all variable) 14.00 11.00 10 Total costs 74.00 60.50 11 Operating income $36.00 $39.50 12 *Allocated on the basis...
Requirements: Moving Averages. Use the below actual sales to calculate a one-year average which will be...
Requirements: Moving Averages. Use the below actual sales to calculate a one-year average which will be used as the forecast for next periods (chapter 14, text). Choose a moving average period that best supports this calculation. Exponential Smoothing. Use the same data to forecast sales for the next periods with α=.40 (chapter 14, text). Regression Analysis on Excel. Draw a scatter graph from Insert/Graph/Scatter graph selections in Excel (chapter 15, text). Month Actual Sales 1 3050 2 2980 3 3670...
ADVERTISEMENT
Need Online Homework Help?

Get Answers For Free
Most questions answered within 1 hours.

Ask a Question
ADVERTISEMENT