Exercise

# Which one is the response variable?

Regression lets you predict the values of a response variable from known values of explanatory variables. Which variable you use as the response variable depends on the question you are trying to answer, but in many datasets there will be an obvious choice for variables that would be interesting to predict. Over the next few exercises, you'll explore a Taiwan real estate dataset with 4 variables.

Variable | Meaning |
---|---|

`dist_to_mrt_station_m` |
Distance to nearest MRT metro station, in meters. |

`n_convenience` |
No. of convenience stores in walking distance. |

`house_age_years` |
The age of the house, in years, in 3 groups. |

`price_twd_msq` |
House price per unit area, in New Taiwan dollars per meter squared. |

Type `View(taiwan_real_estate)`

in the console to view the dataset, and decide which variable would make a good response variable.

Instructions

**50 XP**

##### Possible Answers

`dist_to_mrt_station_m`

`n_convenience`

`house_age_years`

`price_twd_msq`