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`

.

Instructions

**100 XP**

The data frame `bloodpressure`

is in the workspace.

- 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 data set`bloodpressure`

. Call the model`bloodpressure_model`

. - Print the model and call
`summary()`

on it. Does blood pressure increase or decrease with age? With weight?