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![]() ![]() But the coefficients represent only a fraction of the possible fitted value comparisons that might be of interest to researchers. Therefore, each regression coefficient represents the difference between two fitted values of Y. In regression models with first-order terms only, the coefficient for a given variable is typically interpreted as the change in the fitted value of Y for a one-unit increase in that variable, with all other variables held constant.
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