Linear Regression hatdog

Linear Regression hatdog

1. Assumptions

   • Linear relationship between x and y
   • observations are independent
   • Residuals are normally distributed
   • Residuals have the same variability

2. Linear Regression Graph

   • Computation
     • Y = b0+b1 (x)
     • Y dependant variable
     • b1 = summation of (x-x mean) (y-y mean) /summation of (x-x mean) squared
     • b0 variable subtition