Uses the previously calculated intercept and slope, and uses them to calculate the \(\Delta_{47}\) values.

```
apply_etf(
.data,
...,
intercept = intercept,
slope = slope,
raw = D47_raw,
out = D47_etf,
quiet = NULL
)
```

- .data
A tibble containing column D47.

- ...
These dots are for future extensions and must be empty.

- intercept
The column name with the ETF intercept.

- slope
The column name with the ETF slope.

- raw
The column with raw values to apply the ETF to.

- out
The new column name.

- quiet
If

`TRUE`

, print info messages. If`NULL`

(default) listens to`options(clumpedr.quiet)`

Note that the intercept and slope were calculated with the dependent and independent variables in the other direction, so we flip them here. i.e.: $$\Delta_{47etf} = - (\alpha / \beta) + (1 / \beta) \times \Delta_{47_raw}$$

Other empirical transfer functions:
`append_expected_values()`

,
`calculate_etf()`

,
`empirical_transfer_function()`