1 / 12

Trivariate Regression

Trivariate Regression. By Hand. Variable N Mean Std Dev   ar 54 2.37969 0.53501 ideal 154 3.65024 0.53278 misanth 154 2.32078 0.67346. ar ideal misanth ar 1.00000 0.05312 0.22064 r

naava
Download Presentation

Trivariate Regression

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. Trivariate Regression By Hand

  2. Variable N Mean Std Dev   ar54 2.37969 0.53501 ideal 154 3.65024 0.53278 misanth154 2.32078 0.67346 arideal misanth ar1.00000 0.053120.22064r 0.5129 0.0060 p ideal 0.05312 1.00000 -0.13975r 0.5129 0.0839 p

  3. Beta Weights

  4. Unstandardize the Weights

  5. Obtain the Intercept

  6. Obtain R2

  7. R2 For 2 or More Predictors

  8. Test the R2 • SSy = (N-1)s2 = 153(.53501)2 = 43.794 • SSregr = R2SSY =.0559(43.794) = 2.447;df = p = 2; MSregr = 2.447/2 = 1.2235 • SSerror = SSY – SSregr= 43.794 - 2.447 = 41.347; df= n-p-1 = 151;MSerror = 41.347/151 = 0.2738 • F(2, 151) = 1.2235/0.2738 = 4.468, p = .013

  9. Obtain the Semipartial Corrs2

  10. Obtain the Partial Corrs2

  11. Test the Partials df = N - p– 1 = 151

  12. Also See • Obtaining Exact Significance Levels with SAS • Correlation and Regression Analysis: SAS - bivariate and trivariate, with plots • Annotated output

More Related