Timeline for How to determine which variable goes on the X & Y axes in a scatterplot?
Current License: CC BY-SA 3.0
10 events
| when toggle format | what | by | license | comment | |
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| Mar 10, 2020 at 20:17 | comment | added | Tony Ladson | Have a look at users.monash.edu.au/~jpwalker/papers/em19.pdf | |
| Oct 21, 2019 at 13:37 | comment | added | Nick Cox | @Silverfish Better late than never, but "casual" is a typo for "causal" in your first comment. I will add a metacomment that I've seen this typo hundreds of times: some possibly have cause some kind of auto-correct and others have cause the writer being too casual about checking what they say. In your case I blame the former. | |
| Jul 17, 2018 at 10:45 | comment | added | The Nate | +1 for clarifying the flexibility. | |
| Jul 11, 2017 at 0:26 | history | edited | Glen_b | CC BY-SA 3.0 |
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| Sep 20, 2016 at 4:49 | review | Suggested edits | |||
| Sep 20, 2016 at 7:40 | |||||
| Nov 15, 2014 at 3:54 | comment | added | gung - Reinstate Monica | @Beth, if these answers helped you, consider upvoting them by clicking the upwards facing normal distribution to their left. If 1 or both resolved your issue, please consider accepting it by clicking the check mark below the vote total. | |
| Nov 14, 2014 at 13:14 | comment | added | Silverfish | And there's something I use myself, but have never been able to quite put a handle on it, so haven't taught it to my students. We often have two related variables, for instance people's handspan and height, which both depend upon another bunch of variables (age, genetics, nutrition) rather than one being directly responsible for the other. I bet if we did a straw poll, the majority of analysts would put "height" on the x-axis and "handspan" on the y-axis. It seems common to put the "most fundamental" variable on the x-axis in these cases, but I'd be hard-pressed to define a firm rule for it. | |
| Nov 14, 2014 at 13:06 | comment | added | Silverfish | The rules of thumb I teach students: if one variable was under experimental control (a good example of Glen_b's "fixed"), put it on the x-axis. If both variables are just observed, but you suspect a casual relationship between them, put "the cause" on the x-axis. If you are would like to make predictions of one variable based on the other, put the one you're predicting on the y-axis and what you're basing it on on the x-axis. Regardless of what you do, label axes clearly. | |
| Nov 14, 2014 at 7:16 | history | edited | Glen_b | CC BY-SA 3.0 |
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| Nov 13, 2014 at 23:44 | history | answered | Glen_b | CC BY-SA 3.0 |