1 / 5

Supplement

Supplement. Fitting Quadratic Models to Data. Best Fit. We have learned from previous sections that the best fitting curve for any given data, is the curve that gives the smallest average error. Where: E = Error = Actual Given Value – Predicted Value from the model

whuff
Télécharger la présentation

Supplement

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. Supplement Fitting Quadratic Models to Data

  2. Best Fit • We have learned from previous sections that the best fitting curve for any given data, is the curve that gives the smallest average error.

  3. Where: • E = Error = Actual Given Value – Predicted Value from the model • SSE = Sum of the Square of the Errors • n = Number of Data Points

  4. Therefore, the average error is:

More Related