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  3. Supervised Learning in R: Regression

Exercise

Multivariate linear regression (Part 1)

In this exercise, you will work with the blood pressure dataset (Source), and model blood_pressure as a function of weight and age.

The data frame bloodpressure has been pre-loaded for you.

Instructions

100 XP
  • Define a formula that expresses blood_pressure explicitly as a function of age and weight. Assign the formula to the variable fmla and print it.
  • Use fmla to fit a linear model to predict blood_pressure from age and weight in the dataset bloodpressure. Call the model bloodpressure_model.
  • Print the model and call summary() on it. Does blood pressure increase or decrease with age? With weight?