A linear probability model for beer demand
To see how much of an effect changes in the price ratio have on the purchases probabilities of Hoppiness, you describe the relation HOPPINESS ~ price.ratio by using the function lm(). This time, you also directly graph the estimated model by using the functions plot() and abline().
Este ejercicio forma parte del curso
Building Response Models in R
Instrucciones del ejercicio
- Use the function
lm()to explain the purchase probabilities forHOPPINESSbyprice.ratio. Assign the result to an object namedprobability.model. - Display the relation between
HOPPINESSandprice.ratioby using the functionplot(). - Add the model predictions by applying the function
abline()to theprobability.modelobject.
Ejercicio interactivo práctico
Prueba este ejercicio y completa el código de muestra.
# Explain HOPPINESS by price.ratio
probability.model <- lm(___, data = choice.data)
# Plot HOPPINESS against price.ratio
___(___, data = choice.data)
# Add the model predictions
___(___)