Guest Session: 1 Question Remaining. Create Account to save progress.
Login
Linear Modelinghard
0:00.0

In a simple linear regression Y=β0+β1X+ϵY = \beta_0 + \beta_1 X + \epsilonY=β0​+β1​X+ϵ, if we transform XXX to X∗=aX+bX^* = aX + bX∗=aX+b (a>0a > 0a>0), how does the slope β1∗\beta_1^*β1∗​ of the model Y=β0∗+β1∗X∗+ϵY = \beta_0^* + \beta_1^* X^* + \epsilonY=β0∗​+β1∗​X∗+ϵ relate to β1\beta_1β1​?