Session 5

summary: The basic concept is that we forecast the time series of interest $y$ assuming that it has a linear relationship with other time series $x$.

Questions

  1. What is linear regression and how it accounts for associations between variables?
  2. How to check whether the regression model captures genioune information in data?
  3. How to construct a regression model?
  4. How to use regression model for forecast?
  5. How regression can be used to model special events such as holidays?
  6. How to specify and estimate Reegression models using R functions in fable?

Schedule

Session 05 slides: Regression: Time series regression models
Session 05 slides: Useful predictors: Special events
Holiday Download data
Lab Rmarkdown: Fitting Regression models and evaluate their forecast accuracy

Readings

📖 Exponential Smoothing models: Chp 7, Time series regression models Required
📖 Useful predictors in regression: Chp 7.4, Some useful predictors Required
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Forecasting using R
Bahman Rostami-Tabar