Wk 6 discussion

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West Georgia Technical College *

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565

Subject

Economics

Date

Feb 20, 2024

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docx

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1

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Wk. 6 discussion Time series decomposition seeks to separate the time series (Y) into 4 components: trend (T) Shows long term direction of the time series, cycle (C) Highlights the non- seasonal changes in the time series , seasonal (S) shows the seasonal patterns , and irregular (I) captures the unexpected and random changes in the time series. The model can be additive or multiplicative. When do you use each? The additive model can be used when the seasonal variation is relatively constant over time. The multiplicative model can be used when the seasonal variation increases over time. Review the scatter plot of the exponential trend of the time series data. Do you observe a trend? Yes, you can observe this trend. If so, what type of trend do you observe? The observed trend is linear and moving upward. What predictions might you make about the store’s annual sales over the next few years? I predict that the sales may increase over the years by looking at the pattern of the current scatter plot.
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