Model Building and Forecasting with Multicollinear Time Series
A regression model from time series data allows us to identify performance drivers and forecast performance given specific predictor values, just as regression models from cross sectional data do. When decision makers want to forecast future performance, a time series of past performance is used to identify drivers and fit a model. A time series model can be used to identify drivers whose variation over time is associated with later variation in performance over time.
KeywordsHousing Market Multiple Regression Model Prediction Interval Time Series Model Leading Indicator
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