Pierangelo Benedick owns a company in Vancouver, Canada that manufactures sailboats. Actual demand for PB's sailboats from the last 4 years are 4,500; 5,450; 5,250 and 4,800. 1. SOLVE USING EXCEL DATA ANALYSIS Calculate the linear regression equation. 2. SOLVE MANUALLY Forecast the demand for year 5. 3. SOLVE MANUALLY OR USING EXCEL Pierangelo Benedick noticed that the demand for the last for years follow a seasonality pattern. Determine the demand forecast for each season.

College Algebra (MindTap Course List)
12th Edition
ISBN:9781305652231
Author:R. David Gustafson, Jeff Hughes
Publisher:R. David Gustafson, Jeff Hughes
Chapter8: Sequences, Series, And Probability
Section8.3: Arithmetic Sequences And Series
Problem 39E
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Pierangelo Benedick owns a company in Vancouver, Canada that manufactures sailboats. Actual demand for PB's sailboats from the
last 4 years are 4,500; 5,450; 5,250 and 4,800.
1. SOLVE USING EXCEL DATA ANALYSIS Calculate the linear regression equation.
2. SOLVE MANUALLY Forecast the demand for year 5.
3. SOLVE MANUALLY OR USING EXCEL Pierangelo Benedick noticed that the demand for the last for years follow a seasonality
pattern. Determine the demand forecast for each season.
Transcribed Image Text:Pierangelo Benedick owns a company in Vancouver, Canada that manufactures sailboats. Actual demand for PB's sailboats from the last 4 years are 4,500; 5,450; 5,250 and 4,800. 1. SOLVE USING EXCEL DATA ANALYSIS Calculate the linear regression equation. 2. SOLVE MANUALLY Forecast the demand for year 5. 3. SOLVE MANUALLY OR USING EXCEL Pierangelo Benedick noticed that the demand for the last for years follow a seasonality pattern. Determine the demand forecast for each season.
A
B
D
E
PB Sailboat Demand Per Season
Season
Winter
Spring
Summer
Fall
Total
Year 1
Year 2
Year 3
Year 4
1400
1200
1000
900
1500
1400
1600
1500
1000
2100
2000
1900
600
750
650
500
4500
5450
5250
4800
Transcribed Image Text:A B D E PB Sailboat Demand Per Season Season Winter Spring Summer Fall Total Year 1 Year 2 Year 3 Year 4 1400 1200 1000 900 1500 1400 1600 1500 1000 2100 2000 1900 600 750 650 500 4500 5450 5250 4800
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