# Binary Logit

From Q

Related Online Training modules | |
---|---|

Regression | |

Generally it is best to access online training from within Q by selecting Help > Online Training |

*Binary Logit*, also known as *Logistic Regression* is estimated in Q when the **Dependent question** is a Pick One question and it contains only two categories.

See:

- Regression for a description of how to run a regression in Q.
- Regression Outputs for a description of the standard outputs.

## Additional outputs

With ordered logit, additional parameters are shown at the beginning of the output which relate to the thresholds for the categories. An understanding of the working of these thresholds is most readily obtained by checking the option for **Construct variable(s) containing predictions** and reviewing the JavaScript of the created variables (alternatively, review the first of the references provided in Regression Outputs.

## Additional Properties

When using this feature you can obtain additional information that is stored by the R code which produces the output.

- To do so, select
**Create > R Output**. - In the
**R CODE**, paste one of the code snippets from below. - Replace
`item`with the name of your item. Find this by right-clicking the output in the**Report**tree and clicking**Reference name**. - Click
**Calculate**.

Properties which may be of interest are:

- Summary outputs from the regression model:

`item$summary$coefficients # summary regression outputs`