Use the information below to produce the Simple Exponential Smoothing forecast assuming Alpha=0.1.

Use the information below to produce the Simple Exponential Smoothing forecast assuming Alpha=0.1. Enter period 4's forecasted value below. The initialization value for period 1 is given as the actual value for period 1. Round your answer to two decimal places (e.g., 1.23).

Alpha=0.1

Period	X	SES
1	9.2	9.2
2	8.3
3	8.1
4		?

Expert Solution

Exponential smoothing forecasting for current period = (At-1* alpha)+(Ft-1 *(1-alpha)

Alpha = 0.1

Period	X	SES
1	9.2	9.2
2	8.3	=(9.20.1)+(9.2(1-0.1))
3	8.1	=(8.20.1)+(9.2(1-0.1))
4		=(8.10.1)+(C4(1-0.1))

Period	X	SES
1	9.2	9.2
2	8.3	9.2
3	8.1	9.1
4		9

Answer

Period	X	SES
1	9.2	9.2
2	8.3
3	8.1
4		9

Rahul Sunny answered 2 years ago

Use the information below to produce the Simple Exponential Smoothing forecast assuming Alpha=0.3

Use the information below to produce the Simple Exponential Smoothing forecast assuming Alpha=0.3. Enter period 4's forecasted value below. The initialization value for period 1 is given as the actual value for period 1. Round your answer to two decimal places (e.g., 1.23).Alpha=0.3PeriodXSES11.41.427.931.54?

Using exponential smoothing with α of 0.1 and the given forecast for year 1

As you can see in the following table, demand for heart transplant surgery at Washington General Hospital has increased steadily in the past few years: Year12345Heart Transplants46.048.055.057.057.0The director of medical services predicted 6 years ago that demand in year 1 would be 42.0 surgeries a) Using exponential smoothing with α of 0.1 and the given forecast for year 1, the forecasts for years 2 through 6 are (round your responses to one decimal place): Year123456Forecast42.0For the forecast made using exponential smoothing with α...

What is this year's forecast using exponential smoothing with alpha = .4, if last year's smoothed forecast was 2600?

The dean of a school of business is forecasting total student enrollment for this year's summer session classes based on the following historical data:Four years ago 2000There years ago 2200Two years ago 2800Last year 3000What is this year's forecast using exponential smoothing with alpha = .4, if last year's smoothed forecast was 2600?A. 2,600B. 2,760C. 2,800D. 3,840E. 3,000

Use an exponential smoothing method with a starting forecast of 21 for month 1 and a...

Use an exponential smoothing method with a starting forecast of 21 for month 1 and a smoothing constant α = 0.5 to calculate month-in-advance forecasts for months 4–12 and forecast for the ﬁrst month of next year. Calculate the MAD.

Suppose that simple exponential smoothing with w=0.4 is used to forecast monthly wine sales at a...

Suppose that simple exponential smoothing with w=0.4 is used to forecast monthly wine sales at a liquor store. After April's Demand is observed, the forecasted Demand for May is 4500 bottles of wine. a. At the beginning of May, What is the forecast of July's Wine Sales? b. Suppose that actual Demands during May and June are as follows: May - 5000 bottles of wine and June - 4000 bottles of wine. After observing June's Demand, What is the forecast...

Question: Use the first-order exponential smoothing model with α = 0.2 to forecast for these data...

Question: Use the first-order exponential smoothing model with α = 0.2 to forecast for these data and for the first six months of the third year. Compute MSD/E, MAD, MAPE, and Bias. Month (t) Demand A(t) 1 148 2 125 3 78 4 53 5 25 6 29 7 9 8 68 9 84 10 110 11 147 12 120 13 147 14 109 15 96 16 70 17 42 18 36 19 34 20 28 21 71 22 102...

What is the formula for a two step ahead exponential smoothing forecast?

Explain the difference in Simple and Souble Exponential Smoothing methods.

Use exponential smoothing with trend adjustment. Consider T1 = 2, F1 = 12, α alpha =...

Use exponential smoothing with trend adjustment. Consider T1 = 2, F1 = 12, α alpha = 0.2 , delta = 0.3 PART (A) What is your forecast for period 3? Part (B) What is the related MAD for your forecast? Month Actual Demand 1 15 2 25

Use 5 months moving average and exponential smoothing method (using alpha=0.3) on the following sale of...

Use 5 months moving average and exponential smoothing method (using alpha=0.3) on the following sale of Maggi. You are supposed to forecast the sale of Maggi in the 13th Month. Compare whether there is any difference in forecast based on two methods and Comment. Period (Month) Actual Sale of Maggi 1 1100 2 800 3 1000 4 1050 5 1500 6 750 7 700 8 650 9 1400 10 1200 11 900 12 1000 13

Question