6.3 - Linearization (Log & Hyperbolic)
| dc.contributor.author | Shams El-Din El-Fouly | |
| dc.contributor.author | Siddharth Misra | |
| dc.date.accessioned | 2020-01-13T18:07:01Z | |
| dc.date.available | 2020-01-13T18:07:01Z | |
| dc.date.issued | 7/17/18 | |
| dc.identifier.uri | https://hdl.handle.net/11244/323271 | |
| dc.description.abstract | In this lesson you'll learn about how to best fit a line using regression analysis to fit a log trend and hyperbolic trend. | |
| dc.language | en_US | |
| dc.rights | CC BY 4.0 | |
| dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | |
| dc.title | 6.3 - Linearization (Log & Hyperbolic) | |
| dc.type | Video | |
| dc.description.peerreview | No |
Files in this item
This item appears in the following Collection(s)
Except where otherwise noted, this item's license is described as CC BY 4.0