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Multivariate Linear Regression. Multiple Regression with a Single Response and r Predictors. Least Squares Estimation (No Linear Dependencies among Predictors). Sums of Squares Decomposition. Geometry of Least Squares. Least Squares Estimators – Sampling Properties - I.
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Least Squares Estimation (No Linear Dependencies among Predictors)
Least Squares Estimation and Sums of Squares and Cross-Products
Mean and Variance/Covariance Structure of Least Squares Estimator
Estimating Mean Responses and Forecasting New Responses at z0
Classical Regression Model – Univariate Response - Estimators