---
schema_version: "1"
id: 9055f79afa80abd7d25ecf6e38b22fd9ac8854077ad080375af41b4f6f0a1d16
title: Multicollinearity Alert
collection: admin
version: current
locale: en-us
portal_url: https://docs.salesforce.com/admin/current/en-us/analytics/264-0-0/bi_edd_data_alert_collinearity.md
canonical_url: https://help.salesforce.com/s/articleView?id=analytics.bi_edd_data_alert_collinearity.htm&release=264.0.0&type=5
source_site: help.salesforce.com
content_type: documentation
content_hash: 6b375a277f763ff6934c79135c4e96d88477f8e923ca45fb52f1dca260a8da07
description: Indicates that two or more variables are highly correlated (for example, City and Postal Code). These variables can have a duplicate impact on the outcome. This condition is also known as multicollinearity.
products:
  - CRM Analytics
  - Cross Cloud
release: "264"
---
# Multicollinearity Alert

Indicates that two or more variables are highly correlated (for example, City and Postal Code). These variables can have a duplicate impact on the outcome. This condition is also known as multicollinearity.

![Note](https://sf-zdocs-cdn-prod.zoominsoftware.com/tdta-analytics-bi-264-0-0-production-enus/ec791473-f5b4-4f64-a656-9104f455d966/images/icon_note.png)

Note Einstein Discovery stories are now models. We wish we could snap our fingers to update the name everywhere, but you can expect to see the previous name in a few places until we replace it.

## Actions to Consider

Einstein Discovery recommends choosing just one variable to improve results. Consider keeping the most descriptive field (for example, City) to make insights more easily interpretable.

## Detection Methodology

Einstein Discovery raises this data alert when the Cramér's V algorithm (used to test for multicollinearity) returns 0.5 or higher for two variables.

#### See Also

- [Handle Quality Alerts](https://help.salesforce.com/s/articleView?id=analytics.bi_edd_quality_alert.htm&release=264.0.0&type=5 "Einstein Discovery displays quality alerts when it detects issues in your training data, your model’s quality metrics, or during cross-validation.")