Timeline for Fitting a model to data with low correlation between response and predictors
Current License: CC BY-SA 3.0
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| Nov 17, 2017 at 14:44 | comment | added | whuber♦ | This information tells you nothing at all about the ability to predict the response based on both variables. It would be far more informative to regress the response on both variables in a multiple regression and then study the residuals. Searching our site for related keywords, including "residual" and "multiple regression" will turn up a great deal of advice, examples, and explanation. At the very least you should be looking at the data: use a scatterplot matrix of all three variables. | |
| Nov 17, 2017 at 12:29 | answer | added | IrishStat | timeline score: 0 | |
| Nov 17, 2017 at 12:20 | answer | added | Seanosapien | timeline score: 0 | |
| Nov 17, 2017 at 12:07 | history | asked | Jack | CC BY-SA 3.0 |