Finding The Regression Coefficients in R
We can find the regression coefficients for our data using the lm() function, which takes our model as the first argument: first the y variable, followed by a ~ symbol, then the x variable. For instance: lm(y ~ x).
The output labels the value of the intercept with 'intercept', and the value of the slope with the name of the independent variable. Let's try this out with our study that investigated how money (independent variable) predicted prosocial behavior (dependent variable).
This exercise is part of the course
Basic Statistics
Exercise instructions
- In your script, write a line of code using the
lm()function to find the regression coefficients for how much money predicts prosocial behavior - Take a look at the output
Hands-on interactive exercise
Have a go at this exercise by completing this sample code.
# Our data
money <- c(1,2,3,4,5,6,7,8,9,10)
prosocial <- c(3, 2, 1, 4, 5, 10, 8, 7, 6,9)
# Find the regression coefficients