Description

- Apply the least-squares method of estimation to the context of the simple linear regression model. - Apply the principles of the least-squares method of estimation and inference to the multiple linear regression model. - Apply EViews to estimate, test hypotheses and forecast in the context of the linear regression model. - Explain various problems that arise from applying the linear regression model to data, including multicollinearity, specification errors, heteroskedasticity, nonstationarity and autocorrelation.


UniMelb

Semester 2, 2017


24 pages

6,038 words

$29.00

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Campus

UniMelb, Parkville

Member since

February 2016