1 / 10

100 likes | 201 Vues

Monday, October 17. Linear Regression. z y = z x When X and Y are perfectly correlated. We can say that z x perfectly predicts z y. z y ’ = z x Or z y = z x. ^. When they are imperfectly correlated, i.e., r xy ≠ 1 or -1. z y ’ = r xy z x. Example from hands….

Télécharger la présentation
## Monday, October 17

**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

**Monday, October 17**Linear Regression**zy = zx**When X and Y are perfectly correlated**We can say that zx perfectly predicts zy**zy’ = zx Or zy = zx ^**When they are imperfectly correlated, i.e., rxy ≠ 1 or -1**zy’ = rxyzx**When we want to express the prediction in terms of raw**units: zy’ = rxyzx Y’ = bYXX + aYX bYX = rYX (σy / σx) aYX = Y - bYXX _ _**SStotal = SSexplained+SSunexplained**N N N Explained and unexplained variance SStotal = SSexplained + SSunexplained**σ2Y’ [ =unexplained]**σ2Y [ =total] Explained and unexplained variance r2XY = 1 - σ2Y - σ2Y’ = σ2Y r2 is the proportion explained variance to the total variance.

More Related