An electronic appliance manufacturer wants to know if there is a relationship between percentage change in deposable personal income which is reported quarterly by the government, and the percentage change in appliances sold by the manufacturer following same years of quarterly data. Brenda Chee and Clarence Paulus lead an analyst team has obtained data for the past 10 quarters. Table 3   Quarter Percent change in income Percent Change in appliance sold Quarter Percent change in income Percent Change in appliance sold 1 -2.3 -2.5 6 -1.0 1.0 2 -1.5 -1.0 7 0.7 1.4 3 2.8 7.4 8 5.2 3.4 4 0.5 2.6 9 -2.5 -0.5 5 4.6 8.5 10 1.7 1.8 1) What forecasting model should be used for this data.Why? 2) Develop the forecasting model that you have proposed in(a). 3) Compute the relationship for these data. In your opinion, is the relationship between independent variable strong enough to base a predictive the dependent variable? Explain your anwse

Practical Management Science
6th Edition
ISBN:9781337406659
Author:WINSTON, Wayne L.
Publisher:WINSTON, Wayne L.
Chapter13: Regression And Forecasting Models
Section13.7: Exponential Smoothing Models
Problem 25P: The file P13_25.xlsx contains the quarterly numbers of applications for home mortgage loans at a...
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An electronic appliance manufacturer wants to know if there is a relationship between percentage change in deposable personal income which is reported quarterly by the government, and the percentage change in appliances sold by the manufacturer following same years of quarterly data. Brenda Chee and Clarence Paulus lead an analyst team has obtained data for the past 10 quarters.

Table 3

 

Quarter

Percent change in income

Percent Change in appliance sold

Quarter

Percent change in income

Percent Change in appliance sold

1

-2.3

-2.5

6

-1.0

1.0

2

-1.5

-1.0

7

0.7

1.4

3

2.8

7.4

8

5.2

3.4

4

0.5

2.6

9

-2.5

-0.5

5

4.6

8.5

10

1.7

1.8

1) What forecasting model should be used for this data.Why?

2) Develop the forecasting model that you have proposed in(a).

3) Compute the relationship for these data. In your opinion, is the relationship between independent variable strong enough to base a predictive the dependent variable? Explain your anwser

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