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Suppose That Simple Exponential Smoothing with Is Used to Forecast

question 55

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Suppose that simple exponential smoothing with Suppose that simple exponential smoothing with   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 bottle of wine; June 4000 bottle of wine. After observing June's demand, what is the forecast for July's demand? (C) Based on the data from (B), the demands during May and June average (5000+4000)/2 = 4500 bottle per month. This is the same as the forecast for monthly sales before we observed the May and June data. Yet after we observe the May and June demands for wine, our forecast for July demand has decreased from what it was at the end of April. Why? 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 bottle of wine; June 4000 bottle of wine. After observing June's demand, what is the forecast for July's demand?
(C) Based on the data from (B), the demands during May and June average (5000+4000)/2 = 4500 bottle per month. This is the same as the forecast for monthly sales before we observed the May and June data. Yet after we observe the May and June demands for wine, our forecast for July demand has decreased from what it was at the end of April. Why?


Definitions:

Critical Value

The specific value in statistics that a test statistic must exceed to reject the null hypothesis in favor of the alternative.

Formula

A mathematical expression that defines a relationship among variables.

Cramér's V

An indicator of the relationship strength between two categorical variables, ranging from 0 to 1.

Cramér's V

A measure of association between two nominal variables, giving a value between 0 and 1, where 0 means no association and 1 indicates perfect association.

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