# Logistic regression

## Reading

[Osborne, Jason W. 2015. “A Conceptual Introduction to Bivariate Logistic Regression.” Pp. 1–18 in Best practices in logistic regression. Los Angeles: Sage.](https://drive.google.com/file/d/1-SRjUuwh3_Ts2d8v03wfZYaIXFxTdUiH/view?usp=sharing)

## R Script file

[logistic.R](https://drive.google.com/open?id=1qC4Rt2CXs6quJEtTtZxkhV27xHXWUJkD\&usp=drive_fs)

## Slides

{% embed url="<https://docs.google.com/presentation/d/14fc8Ah_rc1DwYrfIhLHDF5PTJZCtVWaj?rtpof=true&usp=drive_fs>" %}
[**Downloadable slides here**](https://docs.google.com/presentation/d/14fc8Ah_rc1DwYrfIhLHDF5PTJZCtVWaj?rtpof=true\&usp=drive_fs)
{% endembed %}

## Lab assignment

[Lab assignment](https://docs.google.com/document/d/1Mxok-DRnKHmXHFXX1ueXCj2lSwRJfWU8/edit?usp=sharing\&ouid=100179871492576617561\&rtpof=true\&sd=true)

## Video

{% embed url="<https://drive.google.com/open?id=1_OCJrsRfWO9UHMdu6udmmqx-RJNV_gcb&usp=drive_fs>" %}

## Sample lab assignment video

{% embed url="<https://drive.google.com/open?id=1_QpNbTa98Bw9ch7esnCS6vBTWM1XJ5D8&usp=drive_fs>" %}

## Lecture reflection

[Lecture reflection template](https://docs.google.com/document/d/1ZjEPIB4Y58JhsSkMNANnjZ30JYGpRNAt?rtpof=true\&usp=drive_fs)
