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You have recorded your company sales over the last 2 years and notice an increasing trend in sales. After plotting the sales in Excel, it shows you the following best-fit line: y = 1036.7x + 2729.5 where y is units sold and x is the time period. You also observe that the sales show seasonality and calculate the seasonal indices for each season in the table below. Season Winter Spring Summer Fall Seasonal Index 0.82 0.78 1.26 1.13 Using the trendline and seasonal index, what is the forecast for the next Summer (time period 11)? (Hint: this is similar to practice problem #28)

You have recorded your company sales over the last 2 years and notice an increasing trend in sales. After plotting the sales in Excel, it shows you the following best-fit line: y = 1036.7x + 2729.5 where y is units sold and x is the time period. You also observe that the sales show seasonality and calculate the seasonal indices for each season in the table below. Season Winter Spring Summer Fall Seasonal Index 0.82 0.78 1.26 1.13 Using the trendline and seasonal index, what is the forecast for the next Summer (time period 11)? (Hint: this is similar to practice problem #28)

MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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You have recorded your company sales over the last 2 years and notice an increasing trend in sales. After plotting the sales in Excel, it shows you the following best-fit line: y = 1036.7x + 2729.5 where y is units sold and x is the time period. You also observe that the sales show seasonality and calculate the seasonal indices for each season in the table below. Season Winter Spring Summer Fall Seasonal Index 0.82 0.78 1.26 1.13 Using the trendline and seasonal index, what is the forecast for the next Summer (time period 11)? (Hint: this is similar to practice problem #28)
Transcribed Image Text:You have recorded your company sales over the last 2 years and notice an increasing trend in sales. After plotting the sales in Excel, it shows you the following best-fit line: y = 1036.7x + 2729.5 where y is units sold and x is the time period. You also observe that the sales show seasonality and calculate the seasonal indices for each season in the table below. Season Winter Spring Summer Fall Seasonal Index 0.82 0.78 1.26 1.13 Using the trendline and seasonal index, what is the forecast for the next Summer (time period 11)? (Hint: this is similar to practice problem #28)
9,889 17,142 15,170 12,060 17,808 10,215 14,133 13,097
Transcribed Image Text:9,889 17,142 15,170 12,060 17,808 10,215 14,133 13,097
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