Exercise

# Individual Tests of Predictors II

In your previous exercise you obtained the coefficient estimates for the two slopes (money and smiling), and your intercept from the "Estimate" column of `summary()`

.
R performs individual t-tests on these predictors. You can see the outcome of these tests next to the `Estimate`

column from the t-value (`t value`

) and p-value (`Pr(>|t|)`

) column.

Enter `summary(lm(liking ~ smile + money))`

into your console to look at the parameter and select which of the following statements is true.

Instructions

**50 XP**

##### Possible Answers

- When controling for smiling, liking is related to money. For every unit increase in money, liking increases by 0.8008.
- The intercept is significantly different from 0, such that if we do not give someone money, and do not smile, they will like us 0.6162.
- When controlling for money, liking is related to smiling. For every unit increase in liking, money increases by 1.4895.