To Notes
IT 223 -- Apr 24, 2024
Review Exercises
Look at the Bivariate Datasets document to help you
with these review exercises.
- What is a bivariate dataset?
- What is a bivariate normal dataset? Give a parsimonious description of a
bivariate normal dataset.
- Look at the Bears 2026 Roster:
bears-2026-roster.txt. Use R to
plot the weight in kilos vs.
the height in meters for each player. The conversion rates are 0.3048 meters per
foot and 0.4536 kilos per pound.
- Practice Problem: With the
Bears Roster 2026 Dataset, use R to compute the correlation of the
height in meters vs. the weight in meters for each player. The conversion
rates are 0.3048 meters per foot and 0.4536 kilos per pound.
- Practice Problem: With the
Bears Roster 2026 Dataset, use R to:
- Compute the height in meters and the weight in kilos of the Bears players.
The conversion rates are 0.3048 meters per foot and 0.4536 kilos per pound.
- Find the simple linear regression equation for predicting weight in kilos from height in meters.
- Create the residual plot, which is the residuals (y-axis) vs. the predicted values (x-axis)
Project 3
- Look at the project descriptions for
Project 3.