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Exercise

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.

Instructions

100 XP
  • 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?