| Subject |
simple linear regression (model assumptions, least squares estimation, confidence intervals for regession parameter, hypothesis tests, coefficient of determination, residual analysis)
multiple regression: modelling of effects (dummy and effect coding, interactions,
nonlinear effects), point estimation(WLS, ML), confidence regions, F tests, modell choice, model fit, multicollinearity
variance and covariance analysis
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