Timeline for Multiple regression for curvilinear seasonal data
Current License: CC BY-SA 3.0
8 events
| when toggle format | what | by | license | comment | |
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| Nov 12, 2018 at 12:42 | history | edited | mdewey |
edited tags
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| Apr 13, 2017 at 12:44 | history | edited | CommunityBot |
replaced http://stats.stackexchange.com/ with https://stats.stackexchange.com/
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| Dec 31, 2014 at 17:09 | history | edited | rnso | CC BY-SA 3.0 |
edited title
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| Nov 28, 2014 at 3:08 | comment | added | rnso | No person was ever measured twice. | |
| Nov 27, 2014 at 12:40 | comment | added | Nick Cox | If no person is ever measured twice, then OK. | |
| Nov 27, 2014 at 12:33 | comment | added | rnso | I tried to clarify in previous question also that subjects were not tested repeatedly. Different subjects were tested over 3 years. There was no age and gender selection of subjects tested at different times. Hence any relation between age or gender with month is likely to be by chance only. | |
| Nov 27, 2014 at 12:26 | comment | added | Nick Cox | Age and gender will need to be predictors and then you need to test for interactions of however you are handling month with age and gender. Standard linear model stuff. In this case the data are for people who are (certainly) aging over time but (probably) constant in gender, so at least the first change needs to be considered even if it is neglected. | |
| Nov 27, 2014 at 12:06 | history | asked | rnso | CC BY-SA 3.0 |