Regressions

Regressions

1. Least Squares

2. SLR

3. MLR

4. Diagnostics & Transformations

5. Model Selection

6. GLR (Y is Binomial)

7. Time Series

8. Causal Inference

9. Optimization

10. GENERAL

    • Coefficients
      •    β0 is the intercept and β1 is the slope (these are both parameters)   
    • Error Term (ϵ):
      • the part of Y the regression model is unable to explain

11. Ways to Visualize Data

    • Scatter Plot
    • Box Plot
    • Histogram