Regression Analysis §

• Checks if, and by how much Independent Variable (s) affect Dependent Variable
  • $R^2$ (0-1) the % that the IV(s) account for the changes in the DV >0.5
  • Significance (Sig.) must be <0.05 to be statistically significant
  • Coefficient: the percentage of each the independent variables is responsible for changes in the dependent variable
  • Standard Error: amount by which the coefficient varies across different cases
  • t-value of the test and its value: is equal to the coefficient divided by the standard error.