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Key ideas
Key ideas
Making a problem statement
Planning an investigation
Identifying variables
Naming the source
Managing data using NZ Grapher
Analysing data
Long term trend
Seasonal effect
Residuals and outliers
Other features (spikes, troughs, plateaus, shifts and long term cycles)
Relative contributions of components to variation
Forecasts
Confidence in forecasts
Further analysis
Alternative models
Historical predictions
Deflation
New variables
Conclusion
NZ Grapher statistical analysis tool (click the link)
NZ Grapher statistical analysis tool (click the link)
Import the data from a spreadsheet (Google Sheets, Excel, Numbers) by copying the data and using the "paste table" option
Select Time Series, making sure that Variable 1 is the time variable (Variable 2 and 3 are what you are analysing)
Create a long term trend, and seasonal effect graph
Evaluate the effectiveness of your model with a recompostion graph
Forecast into the future using the forecast graph (based on a Holt-Winters model that uses exponential smoothing)
Play around with existing data sets on the website
Notes and exemplar
Notes and exemplar
Components of a time series.pptxPenguins.pdfMarking schedule
Marking schedule
Assessment schedule.pdfPage updated
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