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.
This exercise is part of the course
Supervised Learning in R: Regression
Exercise instructions
- Define a formula that expresses
blood_pressure
explicitly as a function ofage
andweight
. Assign the formula to the variablefmla
and print it. - Use
fmla
to fit a linear model to predictblood_pressure
fromage
andweight
in the datasetbloodpressure
. Call the modelbloodpressure_model
. - Print the model and call
summary()
on it. Does blood pressure increase or decrease with age? With weight?
Hands-on interactive exercise
Have a go at this exercise by completing this sample code.
# bloodpressure is available
summary(bloodpressure)
# Create the formula and print it
fmla <- ___
___
# Fit the model: bloodpressure_model
bloodpressure_model <- ___
# Print bloodpressure_model and call summary()
___
___