Regression analysis of physician distribution to identify areas of need some preliminary findings a regression analysis was conducted of factors that help to explain the variance in physician distribution and which identify those factors that influence the maldistribution of physicians models were developed for different geographic areas . Factors associated with the income distribution of full time physicians a quantile regression approach quantile regression analysis permits the identification of variables that affect physician income on a different scale at various levels of the income distribution our study contribute baseline observations for longitudinal analyses . Even after controlling for differences in physician demographics training and practice setting by logistic regression analysis there are some intrinsic specialty differences that are not fully explained by the specialty specific opinions measured in our survey. Regression analysis is a statistical method that is widely used in many duction to the role of the normal distribution in regression the use of logarithmic trans formations in specifying regression relationships and the sampling basis that is critical a quick visual inspection of a variables distribution can reveal some surprising . The distribution of independent variables in regression models this means that while we can explain or predict some of its variation we cant explain all of it it is subject to some sort of random process that affects its value in any particular case to whom i can reference that independent variables do not need to be normally
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