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

In a regression study, the original model is y^=β0+β1x\hat{y} = \beta_0 + \beta_1 xy^​=β0​+β1​x with residuals ei=yi−y^ie_i = y_i - \hat{y}_iei​=yi​−y^​i​. If we create a new response variable yi′=yi+15y'_i = y_i + 15yi′​=yi​+15 for all observations and fit a new regression model y^′=β0′+β1′x\hat{y}' = \beta'_0 + \beta'_1 xy^​′=β0′​+β1′​x with residuals ei′e'_iei′​, how do the new residuals ei′e'_iei′​ compare to the original residuals eie_iei​?