Logistic regression employs a logistic function with a sigmoid (S-shaped) curve to map linear combinations of predictions and their probabilities. Sigmoid functions map any real value into ...

Logistic regression residual plots look different from those from linear regression because the residuals fall on 2 curves, 1 for each outcome level. Pearson residuals >3 and <−3 would be considered ...

Figure 1 shows that our dataset cannot be separated into positive and negative examples by a straight-line through the plot. Therefore, a straightforward application of logistic regression will not ...