Fitting a Trend Line and Forecasting (VCE SSCE General Mathematics): Flashcards

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Fitting a Trend Line and Forecasting
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Method to fit trend line to time series data

Least squares method

What least squares method minimises

Squared distances between data points and line

Variable type: time (year/quarter) in trend line fitting

Explanatory variable (EV)

Variable type: measurement (sales, etc.) in trend fitting

Response variable (RV)

What trend line slope tells you

Average rate of change per time period

Using fitted line equation to predict future values

Trend line forecasting

Purpose of deseasonalising data

To remove seasonal variation before fitting trend line

How to reseasonalise a prediction

Multiply by the appropriate seasonal index

DSR process steps in seasonal forecasting

Deseasonalise, Substitute, Reseasonalise

Caution when predicting far beyond original data range

Treat results with caution; trends may not continue

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