Logistic Regression from Bayes’ Theorem
If you fit a linear model for the coffee making problem and one of the parameters is temperature and the coefficient for the temperature in the linear model is positive, does that mean if you keep increasing the temperature without limit, the probability of making a good cup of coffee increases as well without limit?In reality the temperature is required to be a certain exact value within a range.