Exercise

# Interpretation of R^2

The \(R^2\) reported for the regression model for poverty rate of U.S. counties in terms of high school graduation rate is 0.464.

```
lm(formula = poverty ~ hs_grad, data = countyComplete) %>%
summary()
```

How should this result be interpreted?

Instructions

**50 XP**

##### Possible Answers

- 46.4% of the variability in high school graduate rate among U.S. counties can be explained by poverty rate.
- 46.4% of the variability in poverty rate among U.S. counties can be explained by high school graduation rate.
- This model is 46.4% effective.
- The correlation between poverty rate and high school graduation rate is 0.464.