Putting It Together: Regression
Let's try to put it all together. You've conducted a study looking at how much money people have (dependent variable) and their education level (independent variable). Let's check some different things in your data!
This exercise is part of the course
Basic Statistics
Exercise instructions
- Calculate the Pearson r correlation coefficient between your two variables
- Calculate your regression coefficients and assign them to a new variable called
line - Print the regression coefficients you have assigned
- Make a scatterplot of your variables. Label the graph "My Scatterplot" (remember you can do this with the
main =argument) - Add the regression line to your scatterplot
Hands-on interactive exercise
Have a go at this exercise by completing this sample code.
# your data
money <- c(4, 3, 2, 2, 8, 1, 1, 2, 3, 4, 5, 6, 7, 9, 9, 8, 12)
education <- c(3, 4, 6, 9, 3, 3, 1, 2, 1, 4, 5, 7, 10, 8, 7, 6, 9)
# calculate the correlation between X and Y
# save regression coefficients as object "line"
# print the regression coefficients
# plot Y and X
# add the regression line