what is residual diagnosis in r which is the most likely reason to use least squares to test the assumption that error is normally distributed what is regression weights? how to perform goodness of fit regression which type of model is used to determine residual diagnosis? is rlm regression why use least squares to do rlm regression what is the definition of residual diagnosis in r what is the rlm model used for why can regression models be used for heteroscedastic how to do goodness of fit and residual diagnosis in r why would you use the least square of a logistic regression for rlm why can't my regression model be used rlm can rlm regression be used as unbiasedness how to do goodness of fit analysis in r which assumptions are commonly used to design a robust regression model why is residual diagnosis useful in r regression what does heteroscedastic mean? when to use least squares model in r what is residual diagnosis mean in regression analysis