| To: | <s-news@lists.biostat.wustl.edu> |
|---|---|
| Subject: | significant correlation vs. predict better? |
| From: | "Danni Wang" <liuwang94710@hotmail.com> |
| Date: | Mon, 22 Sep 2003 13:38:26 -0700 |
| Importance: | Normal |
| Reply-to: | <liuwang94710@hotmail.com> |
Dear Group, Hope this question is not far from the field. We know a linear predictor could be used to predict y=Ey+corr(x-Ex)SD(y)/SD(x) from x. When two sequences of data (x_seq, y_seq) are tested having a significant positive correlation with each other using non-parametric rank method, is there a way to improve the prediction of y from x using this information? Thanks very much, Danni |
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