# Correlated slopes in multivariate model

**URL:** <https://discourse.pymc.io/t/correlated-slopes-in-multivariate-model/1485>\
**Category:** Questions\
**Created:** [July 9, 2018, 9:49am UTC](https://discourse.pymc.io/t/correlated-slopes-in-multivariate-model/1485 "2018-07-09T09:49:56Z")\
**Posts on this page:** 1\
**Showing post:** 9

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**Author:** ![falk](https://yyz2.discourse-cdn.com/flex036/user_avatar/discourse.pymc.io/falk/32/4421_2.png) [@falk](https://discourse.pymc.io/u/falk)\
**Post date:** [July 13, 2018, 10:57pm UTC](https://discourse.pymc.io/t/correlated-slopes-in-multivariate-model/1485/9 "2018-07-13T22:57:37Z")

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> [@junpenglao](#):
>
> You should make it into a blog post!

No time! I expect approximatly 25 years of hard work to come prior to independence of my children. If internet still exists then, I promise to start a blog!

Still, for now, I’ve summarized this in a notebook tutorial.  
[https://gitlab.com/falkm/code\_sharing/blob/master/summary\_hcov\_models.ipynb](https://gitlab.com/falkm/code_sharing/blob/master/summary_hcov_models.ipynb)

Two minor questions emerged:

- how can I incorporate a model residual (\epsilon)?
- @Jack_Caster, what was the purpose of the “Scaler” in your notebooks?

Thanks once more,

Falk

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