| Notas Contenido: |
- Multiple Regression/Correlation
- Bivariate correlation andregression
- Multiple regression/Correlation wint two or more independent variables
- Date visualization, Exploration, and assumption checking: Diagnosing and solving regression problems
- Data-Analytics strategies usingmultiple regression/correlation
- Quantitative scales, curvilinear relationships, and transformations
- Interactions among continuous variable
- Categorical or nominal independent variables
- Interactions with categorical variables
- outliera and multicollinearity:Diagnoding and solving regression problems II
- Missing data
- Multiple regression/Correlation and causal models
- Alternative regression models: Logistic, poisson regression, and the generalized linear model
- Random coefficient regression and multilevel models
- Longitudinal regression methods
- Multiple dependent variables: set correlation
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