Sumários
Lecture 3
12 Março 2021, 08:00 • Rui Paulo
Inference for linear regression models: the normal linear regression model. Diagnostic analysis.
Lecture 2
5 Março 2021, 08:00 • Rui Paulo
This lecture took place on March 3 at 9am.
Matrix formulation of multiple weighted linear regression. Calculation of the weighted least squares estimator using matrix calculations. Properties of the estimator. Properties of the estimator of the fitted values and of the variance. Example in R. Interpreting the estimates of ther regression coefficients for numeric variables and for binary factors. Interpretation when the response variable is the logarithm of the variable of interest.
Lecture 1
26 Fevereiro 2021, 08:00 • Rui Paulo
Linear regression, weighted vs ordinary linear regression. Simple linear regression: weighted least squares estimates (WLS). Properties of the WLS estimators. Properties of the residuals. Decomposition of the total sum of squares. Multiple R-squared. Birth weight example.
Lecture 0
19 Fevereiro 2021, 08:00 • Rui Paulo
Practical details of the course. Introduction: exploring data; factors. Statistical models: random and systematic component. Linear regression and generalized linear models.