|
Provided by: Creascience Simple and Multiple Linear Regression TechniquesStatistics |
![]() |
Training
Provided by Creascience
Explain the context of use of simple and multiple linear regression
Understand what the underlying assumptions of the techniques are
Construct simple/multiple regression models
Assess the goodness-of-fit of the model to the data
Identify common issues in regression, diagnose problems and fix them
Interpret statistical software output
This one-day workshop offers an overview of simple and multiple linear regression techniques, starting with the interpretation of results, strengths and weaknesses and also discusses their practical realization.
Upon completion of this course, participants will be able to:
|
|
||||||||||||||||
Simple and Multiple Linear Regression Techniques
- Simple Linear Regression (SLR)
- Objectives
- Terminology
- What is a model?
- Model Specification
- Principle of least squares estimation
- Interpretation of model coefficients
- Difference between correlation and regression
- Example: Data on systolic blood pressure
- Statistical testing on Beta0 (intercept)
- Statistical testing on Beta1 (slope)
- Condition of use and diagnostic tools
- Prediction in regression analysis
- Extrapolation
- Multiple Linear Regression (MLR)
- Objectives
- Aspects common to SLR
- Interpretation of model coefficients
- Construction of a MLR model
- Adjusted coefficient of determination (adjusted R2)
- Checking model adequacy
- Variable selection
- Multicollinearity
- Special terms in MLR models
- Alternatives to Standard Linear Regression
- Nonlinear Regression (NLR)
- Applications of nonlinear regression
- Other ways to handle multicollinearity
- Summary
- Step in model construction
- Robustness of regression to deviations from conditions of application
- Some references
About The Training Provider: Creascience
Creascience - Creascience offers an wide array of training sessions in statistics aimed primarily at non-statisticians. We also provide specific training courses on statistical methods aimed at statisticians. People attend our training sessions to gain basic knowledge or to deepen some specific aspects. The training sessions are offered both in our offices and on-site, depending on the client s needs. We...

