A company has developed a linear trend regression model based on 16 quarters of data. The independent variable is the measure of time (t = 1 thru 16 where quarter 1 is winter quarter, 2 is spring, etc.)

The company has also developed seasonal indexes for each quarter as follows:

Winter Spring Summer Fall
1.20 1.00 0.70 1.10

The linear trend forecast equation is: y= 120 + 56t.
Given this information, what is the seasonally unadjusted forecast for period 19?
A) 1,064
B) 1,184
C) 828.80
D) 986.7

B

Business

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considered. A) table of contents B) approach to the problem C) title page D) problem definition

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________ demand items are final products demanded by an external customer

A) Dependent B) Independent C) External D) Integrated

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