We wish to determine weather a dog is an Alsatian or a beagle based on it's weight. Two statisticians compute logistic regression models, each use the same data. One of them has made a mistake somewhere in the numerics and our goal is to determine which one. Professor A's model is ln(X) = -50+ 2X = € and professor B's model is ln(X) = 50 - 2X. Where X is the weight variable and p(X) is the probability of being an Alsatian. a Interpret the two coefficents in each model
