# Koji Yatani's Course Webpage

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 hcistats:logisticregression [2014/07/23 05:59]Koji Yatani created hcistats:logisticregression [2014/08/14 05:27] (current)Koji Yatani 2014/08/14 05:27 Koji Yatani 2014/07/23 05:59 Koji Yatani created 2014/08/14 05:27 Koji Yatani 2014/07/23 05:59 Koji Yatani created Line 1: Line 1: ======Logistic Regression====== ======Logistic Regression====== + \\ =====Introduction===== =====Introduction===== Logistic Regression is a way to fit your data to the logistic function. The logistic function is as follows: Logistic Regression is a way to fit your data to the logistic function. The logistic function is as follows: Line 222: Line 223: Generally, Nagelkerke R-squared becomes larger than Cox and Snell R-squared. In this example, both pseudo R-squares tell us that the model predicts the success rate pretty well. Generally, Nagelkerke R-squared becomes larger than Cox and Snell R-squared. In this example, both pseudo R-squares tell us that the model predicts the success rate pretty well. + + \\ + ~~DISCUSSION:​open~~ 