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Lecture
Regression: Simple and Multiple Linear
Description
This lecture introduces simple and multiple linear regression, focusing on models and inference. It covers topics such as least squares estimation, properties of LSE, constructing the likelihood, model diagnostics, and model selection using AIC. The instructor discusses the WHO data, parameter estimation, variance estimates, and coefficient of determination.
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