Exercise

# Reversing Causal Direction

Causal interpretation of regression models can be tricky. Using the same data in the last example, an eGulf analyst decided to toy with a regression model where age is a function of price sold (i.e. price is the independent variable, and age is the dependent variable). The results of this model are visualized in the R workspace. If this model shows a causal relationship between age and price sold, with age as the dependent variable, what **exactly** should the analyst say to describe the results to his boss?

Instructions

**50 XP**

##### Possible Answers

- Older phones tend to sell for less
- Old age causes phones to sell for less
- High sales prices causes phones to become younger