Learning objectives: Describe linear and nonlinear time trends. Explain how to use regression analysis to model seasonality. Describe a random walk and a unit root.
21.1.1. The following seasonal dummy model estimates the quarterly growth rate (in percentage terms) of housing...
Learning objectives: Explain how to use regression analysis to model seasonality. Explain how to construct an h-step-ahead point forecast.
701.1. Based on a regression analysis, the following model was produced to predict housing starts (given in thousands) within a certain...
Two questions regarding hypothesis testing:
(1) Autocorrelation is the correlation between 2 error terms and serial correlation is the correlation between two residual terms. Doesn't that mean that autocorrelation and serial correlation are effectively interchangeable?