Interpretation of coefficients
Assume you built a logistic regression model to predict which donors are most likely to donate for a project, using age
and time_since_last_gift
(number of months since the last gift) as predictors. The output of the logistic regression model is as follows:
y = 0.3 + 4.5*age - 2.3*time_since_last_gift
Which of the following statements holds, according to the model?
This exercise is part of the course
Introduction to Predictive Analytics in Python
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