Multivariate linear regression (Part 2)

Now you will make predictions using the blood pressure model bloodpressure_model that you fit in the previous exercise.

You will also compare the predictions to outcomes graphically. ggplot2 has already been loaded. Recall the plot command takes the form:

ggplot(dframe, aes(x = pred, y = outcome)) + 
     geom_point() + 
     geom_abline(color = "blue")

bloodpressure and bloodpressure_model are available for you to use.

Use predict() to predict blood pressure in the bloodpressure dataset. Assign the predictions to the column prediction.
Graphically compare the predictions to actual blood pressures. Put predictions on the x axis. How close are the results to the line of perfect prediction?