Linear Modelingmedium
0:00.0

Consider a linear model y^=β0+β1x\hat{y} = \beta_0 + \beta_1 x. If we transform the independent variable by adding a constant kk to every observation (x=x+kx' = x + k), how do the slope and intercept of the new regression line y^=β0+β1x\hat{y} = \beta'_0 + \beta'_1 x' change?