```
usage: regression [-i N_INPUTS] [-d N_DAYS] [-j N_JUMPS] [-e S_END_DATE] [-p N_POLYNOMIAL] [-h]
                  [--export {png,jpg,pdf,svg}]
```

Regression attempts to model the relationship between two variables by fitting a linear/quadratic/cubic/other equation to
observed data. One variable is considered to be an explanatory variable, and the other is considered to be a dependent
variable.

```
optional arguments:
  -i N_INPUTS, --input N_INPUTS
                        number of days to use for prediction.
  -d N_DAYS, --days N_DAYS
                        prediction days.
  -j N_JUMPS, --jumps N_JUMPS
                        number of jumps in training data.
  -e S_END_DATE, --end S_END_DATE
                        The end date (format YYYY-MM-DD) to select - Backtesting
  -p N_POLYNOMIAL, --polynomial N_POLYNOMIAL
                        polynomial associated with regression.
  -h, --help            show this help message
  --export {png,jpg,pdf,svg}
                        Export figure into png, jpg, pdf, svg
```

![regression](https://user-images.githubusercontent.com/25267873/108604946-d3338100-73a8-11eb-9e99-fa526fb56672.png)