Simple Regression

Simple Regression

1. Conversion Equation: The simplest regression between 2 variables where values of X are used to 'predict' values exactly the values of Y

2. ·

   • Regression equations are scale dependent, correlation is scale independent

3. ·

4. Inferences in Regression

   • Linear Equation: test of b, confidence interval of b
   • Prediction: Predicting Y from X, confidence interval of predicted Y

5. Affecting Regression

   • Outliers
   • Restricted range
   • Heterogeneous subsamples

6. Assumptions

   • Independence
   • Linearity
   • Bivariate Normality
   • Homoscedasticity
     • An even dispersion of data around the regression line

7. Don't think this is examinable

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