Statistics
Advanced Regression Analysis
USD 15.00
Learning Objectives
By the end of this course, learners will be able to:
- Understand advanced regression concepts and the assumptions underlying regression models.
- Develop and interpret multiple regression models involving several independent variables.
- Evaluate model fit using R², adjusted R², significance tests, and other statistical measures.
- Identify and address common regression problems, including multicollinearity, heteroscedasticity, and influential observations.
- Interpret regression coefficients, interaction effects, and categorical variables accurately.
- Conduct and interpret regression diagnostics to assess the reliability and validity of a model.