Exercise

# Manually predicting house prices

You can manually calculate the predictions from the model coefficients. When making predictions in real life, it is better to use `predict()`

, but doing this manually is helpful to reassure yourself that predictions aren't magic – they are simply arithmetic.

In fact, for a simple linear regression, the predicted value is just the intercept plus the slope times the explanatory variable.

$$response = intercept + slope * explanatory$$

`mdl_price_vs_conv`

and `explanatory_data`

are available, and `dplyr`

is loaded.

Instructions

**100 XP**

- Get the coefficients of
`mdl_price_vs_conv`

, assigning to`coeffs`

. - Get the intercept, which is the first element of
`coeffs`

, assigning to`intercept`

. - Get the slope, which is the second element of
`coeffs`

, assigning to`slope`

. - Manually predict
`price_twd_msq`

using the intercept, slope, and`n_convenience`

.