I need to know how to do a forecasting for mortality using a logistic regression, can somebody help?
data = {{1., 0.75}, {2., 0.89}, {3., 0.42}, {4., 0.99}, {5., 0.84},
{6., 0.34}, {7., 0.83}, {8., 0.93}, {9., 0.76}, {10., 0.11}};
nlm = NonlinearModelFit[data, b Exp[m x]/(1 + b Exp[m x]), {b, m}, x]
the data that has been input is fake, i want to know if am doing a forecasting what kind of data should i input?
LogitModelFit
and in this case the more generalGeneralizedLinearModelFit
to do this. A Logistic Regression is a linear model with the Logit-function as its link function. $\endgroup$