Introduction
Why trended baseline smoothing will help your regression
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Software setup
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1. Simple Exponential Smoothing (SES) and Trend
A review of SES with a stationary baseline
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Problems using SES with a trended baseline
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Forecasting differences
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Using R for SES
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Using ARIMA(0,1,1) for SES
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2. Understanding the Forecast Equation
Distinguish between a level component and a trend component
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The trend constant compared to the level constant
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Compare smoothing and error correction forms
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Initialize the trend forecasts
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Build the full worksheet and optimize with Solver
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3. Running the Trend Forecast Analysis in R
Prepare for analysis with R
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Run and interpret the analysis in R
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Ex_Files_Analytics_Trend_Forecasting.zip
(1.0 MB)