Business, 07.12.2019 05:31 ngmasuku3115

Historical demand for a product is as follows:

demand
april 54
may 49
june 74
july 54
august 79
september 74
a.
using a simple four-month moving average, calculate a forecast for october. (round your answer to 2 decimal places.)

forecast for october
b.
using single exponential smoothing with α = 0.40 and a september forecast = 63, calculate a forecast for october. (round your answer to 2 decimal places.)

forecast for october
c.
using simple linear regression, calculate the trend line for the historical data. say the x axis is april = 1, may = 2, and so on, while the y axis is demand. (round your intercept value to the nearest whole number and slope value to 2 decimal places.)

y = + t
d.
calculate a forecast for october using your regression formula. (round your answer to 2 decimal places.)

forecast for october

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Historical demand for a product is as follows:

demand
april 54
may 49

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