Multivariate linear regression is about fitting the observed data to some multidimensional surface - a formula is postulated which purportedly defines how an explanatory variable is related to a response variable. The response variable being the 'observed result/response' that the scientist hopes to model with the formula and the set of explanatory variables being the variables, which in conjunction with the formula, can be used to 'explain' the result.
To use this component in KNIME, download it from the below URL and open it in KNIME:
Download ComponentDeploy, schedule, execute, and monitor your KNIME workflows locally, in the cloud or on-premises – with our brand new NodePit Runner.
Try NodePit Runner!Do you have feedback, questions, comments about NodePit, want to support this platform, or want your own nodes or workflows listed here as well? Do you think, the search results could be improved or something is missing? Then please get in touch! Alternatively, you can send us an email to mail@nodepit.com, follow @NodePit on Twitter or botsin.space/@nodepit on Mastodon.
Please note that this is only about NodePit. We do not provide general support for KNIME — please use the KNIME forums instead.