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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 exercício faz parte do curso

Building Response Models in R

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Instruções do exercício

  • Use the function lm() to explain the purchase probabilities for HOPPINESS by price.ratio. Assign the result to an object named probability.model.
  • Display the relation between HOPPINESS and price.ratio by using the function plot().
  • Add the model predictions by applying the function abline() to the probability.model object.

Exercício interativo prático

Experimente este exercício completando este código de exemplo.

# Explain HOPPINESS by price.ratio
probability.model <- lm(___, data = choice.data)

# Plot HOPPINESS against price.ratio
___(___, data = choice.data)

# Add the model predictions
___(___)
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