A Gentle Introduction to Linear Regression

  • y is the predicted value of the dependent variable (y) for any given value of the independent variable (x).
  • B0 is the intercept, the predicted value of y when the x is 0.
  • B1 is the regression coefficient — how much we expect y to change as x increases.
  • x is the independent variable
  • Linear relationship -
  • Multivariate normality -
  • No or little multi collinearity -
  • Homoscedasticity -

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