Timeline for How to interpret the intercept term in a GLM?
Current License: CC BY-SA 3.0
14 events
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Mar 18 at 22:51 | history | edited | kjetil b halvorsen♦ |
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Oct 8, 2013 at 14:06 | answer | added | Freya Harrison | timeline score: 4 | |
S Jan 28, 2013 at 21:57 | history | suggested | Corvus |
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Jan 28, 2013 at 21:52 | review | Suggested edits | |||
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Jan 21, 2013 at 21:31 | history | edited | whuber♦ | CC BY-SA 3.0 |
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S Jan 21, 2013 at 15:07 | history | suggested | Corvus | CC BY-SA 3.0 |
Made the title more to the point, and tidied up some wording
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Jan 21, 2013 at 15:06 | answer | added | Peter Flom | timeline score: 5 | |
Jan 21, 2013 at 15:00 | review | Suggested edits | |||
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Jan 21, 2013 at 12:46 | answer | added | Corvus | timeline score: 23 | |
Jan 21, 2013 at 12:22 | review | First posts | |||
Jan 21, 2013 at 12:38 | |||||
Jan 21, 2013 at 12:22 | comment | added | Peter Flom | The intercept is the predicted value of the dependent variable when all the independent variables are 0. Without more information on your model, I can't say whether this is meaningful in your case. | |
Jan 21, 2013 at 12:20 | history | edited | Peter Flom | CC BY-SA 3.0 |
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Jan 21, 2013 at 12:19 | comment | added | Tomas | What is the link function that you specify in glm? | |
Jan 21, 2013 at 12:05 | history | asked | Samuel Waldron | CC BY-SA 3.0 |