why does a linear model fit with the gauss assumptions which type of model is based on a gauss markov assumption? why are semilog and reciprocal models fit for an independent variable why use the gauss markov assumption why is a linear model fit with the gauss markov assumption? why do some non linear models need to be fit? why a non linear model can be fitted with the gauss markov assumption? why do we use the gauss markov assumptions? why would you fit a gauss markov model why do gauss markov assumptions work why is a linear relationship necessary why gauss markov model why is there a need to fit a non linear model which markov model can't fit in a non logistic model what assumptions can be used to fit a non linear model why do semilog and reciprocal models need to be fitted why do gauss and markov assumptions fail? why do some non linear models fit gauss markov assumptions? and which assumptions need to be made? does the gauss markov assumption fit the independent variable why is the gauss markov assumption used in non linear models