Regression Analysis: Linear Models 2500-EN-S-99
Ćwiczenia (CW) Semestr zimowy 2017/18

Lecture:

class 1: review of the basic statistics

class 2: bivariate regression - overview, slope and intercept, residuals, R

squared

class 3: multivariate regression - overview, specification of the model,

meaning of coefficients, dummy independent variables

class 4: multicolinearity, autocorelation

class 5: complex models, hierarchical models, chow test, interaction

terms, mediation analysis, bootstrapping

Workshop:

classes 6&7: diagnostics - checking assumptions and solving problems

class 8: model building, interpretation and reporting

class 9: independent variables: dummy codes and nonlinearly

transformed independent variables

class 11: hierarchical models, nested F test, chow test

class 12: impact of third variable: mediation analysis

class 13: impact of third variable: moderation - models with interaction

terms

class 14: repetition class

class 15: test