pull out p-values and r-squared from a linear regression?

Question

How do you pull out the p-value (for the significance of the coefficient of the single explanatory variable being non-zero) and R-squared value from a simple linear regression model? For example... x = cumsum(c(0, runif(100, -1, +1))) y = cumsum(c(0, runif(100, -1, +1))) fit = lm(y ~ x) summary(fit)I know that `summary(fit)` *displays* the p-value and R-squared value, but I want to be able to stick these into other variables.

Answer 1

You can pull out the r-squared value and p-value using the following code. The code for the p-value only works if you are creating a single-variable linear regression.

r-squared:

summary(fit)$r.squared

p-value:

summary(fit)$coefficients[2,4]