![Sample our Mathematics & Statistics journals, sign in here to start your FREE access for 14 days]({"type":"image" , "src" : "/sda/5943/TOC-Subject-Sample-2021-Mathematics-Statistics.jpg"})
A pedagogically useful interpretation of the least squares regression surface is offered. In particular, it is shown that the least squares hyperplane can be viewed as the weighted average of all of the possible hyperplanes that can be formed by observational set combinations. The appropriate weighting scheme is developed, and two examples are presented. Furthermore, the notions of robustness and influential observations are simply explained.
Key Words:
Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?
To request a reprint or corporate permissions for this article, please click on the relevant link below:
Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?
Obtain permissions instantly via Rightslink by clicking on the button below:
If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.
