You want to fit a multiple regression model to predict graduation rates (rate) based on expenditure per student (expend) and average SAT scores (SAT). You use the following command in R:

model <- lm(rate ~ expend + SAT) 

What does this command do?

Question 5 options:

	It fits a linear regression model predicting rate based on the sum of the predictors expend and SAT.
	It calculates the correlation between rate, expend, and SAT.
	It fits a linear regression model with expend and SAT as predictors for rate.
	It tests whether the relationship between rate and expend is significant.
	It standardizes the variables rate, expend, and SAT before fitting the model.