This lecture covers the concept of multi-linear regression, which involves predicting a response using multiple explanatory variables. The instructor explains the calculation of coefficients and the least squares method for model fitting.
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Covers the basics of linear regression, including OLS, heteroskedasticity, autocorrelation, instrumental variables, Maximum Likelihood Estimation, time series analysis, and practical advice.
