all AI news
An Illustrated Guide to The Variance-Covariance Matrices Used In Regression Analysis
March 21, 2022, 7:48 a.m. | Sachin Date
Towards Data Science - Medium towardsdatascience.com
An Illustrated Guide to the Variance-Covariance Matrices Used in Regression Analysis
An illustration of how an artifact that is fundamental to regression modeling is constructed, using a real-world data set
The variance-covariance matrix forms the keystone artifact of regression models. The variance-covariance matrix of the regression model’s errors is used to determine whether the model’s error terms are homoskedastic (constant variance) and uncorrelated. The variance-covariance matrix of the fitted regression model’s …
analysis confidence-interval covariance-matrix hands-on-tutorials regression regression-analysis standard-error variance
More from towardsdatascience.com / Towards Data Science - Medium
Jobs in AI, ML, Big Data
AI Research Scientist
@ Vara | Berlin, Germany and Remote
Data Architect
@ University of Texas at Austin | Austin, TX
Data ETL Engineer
@ University of Texas at Austin | Austin, TX
Lead GNSS Data Scientist
@ Lurra Systems | Melbourne
Senior Machine Learning Engineer (MLOps)
@ Promaton | Remote, Europe
Business Data Analyst
@ Alstom | Johannesburg, GT, ZA