Regression Analysis (StudeerSnel)
5 important questions on Regression Analysis (StudeerSnel)
What is step 1? (objectives)
- Formulating hypothesis --> Theoretical grounded
- Measurement level --> X and Y needs to be metric
What is step 2? (research design)
- Sample size: >50, >100 prefered
- Ratio V to O: 1 to 5, 1 to 15 prefered
- Theoretically grounded
What is step 3? (assumptions)
- Linearity of the phenomena measured: Residuals (correlations in three ways: transforming data values, polynomial terms, non-linear regression).
- A constant variance of the error terms: Heteroscedastic (Levene's test).
- Independence of the error terms: Residuals (mean = 0, std = 1)
- Normality of the error term distribution: histogram
- Higher grades + faster learning
- Never study anything twice
- 100% sure, 100% understanding
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What is step 5? (interpretations of results)
- Explained variance: R-square: >30%
- Model usability: F-test: significant
- Multicollinearity: Collinearity statistics: >0,25 if not centering
- Power X and Y: Beta (if significant): IV + 1 gives DV + Beta
What is step 6? (Validation)
- Explained variance: low explained variance implies other variables have more influence on or explain the dependent variable better.
- Maximizing the degrees of freedom: improve the generalizability of the research
- Comparison with theory for validation
The question on the page originate from the summary of the following study material:
- A unique study and practice tool
- Never study anything twice again
- Get the grades you hope for
- 100% sure, 100% understanding
