Question

A plastics manufacturing performed a quarterly time series analysis for demands over the last five years (periods 1 through 20). The analysis resulted in the following trend equation and seasonal indexes: ? = 920.0 + 22.6 t Quarter | Index 1 | 75.0 2 | 104.0 3 | 121.0 4 | 100.0 If demand for period 19 was actually 1,000, what was the deseasonalized demand?

          A plastics manufacturing performed a quarterly time series analysis for demands over the last five years (periods 1 through 20). The analysis resulted in the following trend equation and seasonal indexes:

? = 920.0 + 22.6 t

Quarter | Index
1 | 75.0
2 | 104.0
3 | 121.0
4 | 100.0

If demand for period 19 was actually 1,000, what was the deseasonalized demand?

A plastics manufacturing performed a quarterly time series analysis for demands over the last five years (periods 1 through 20). The analysis resulted in the following trend equation and seasonal indexes:

? = 920.0 + 22.6 t

Quarter | Index
1 | 75.0
2 | 104.0
3 | 121.0
4 | 100.0

If demand for period 19 was actually 1,000, what was the deseasonalized demand?

Added by Jessica G.

Elementary Statistics a Step by Step Approach

Allan G. Bluman 9th Edition

Instant Answer

Solved by Expert Kerry-Ann Donaldson

06/18/2022

Step 1

Step 1: Calculate the demand for period 19 using the trend equation. Show more…

Show all steps

Thanks for your feedback!

A plastics manufacturing company performed a quarterly time series analysis for demands over the last five years (periods 1 through 20). The analysis resulted in the following trend equation and seasonal indexes: 920.0 + 22.6t Quarter Index: 75.0, 104.0, 121.0, 100.0 If the demand for period 19 was actually 1,000, what was the deseasonalized demand?