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INTRODUCTION TO BINARY LOGISTIC REGRESSION

INTRODUCTION TO BINARY LOGISTIC REGRESSION

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the distribution of logged odds is symmetrical around 0. The same size increase or decrease in the probabilities has the same absolute value in logged odds. It is important to point out that the difference between the logged odds is not constant. For example, 2.197-1.386=.811 while 1.386-.847=.539. What does this mean? The logit

  Introduction, Distribution, Logistics, Regression, Binary, Probabilities, Introduction to binary logistic regression

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