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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The course establishes the concepts of statistical analysis, probability theory, and data analysis. This includes standard statistical tests, correlation analysis and experimental design. It introduce
Covers the basics of linear regression, including OLS, heteroskedasticity, autocorrelation, instrumental variables, Maximum Likelihood Estimation, time series analysis, and practical advice.
