Timeline for Pearson Correlation of Device Values
Current License: CC BY-SA 3.0
5 events
| when toggle format | what | by | license | comment | |
|---|---|---|---|---|---|
| Nov 12, 2014 at 12:26 | comment | added | John McKenzie | You're amazing mate, thanks heaps, I really appreciate it!! Unfortunately my rep is too low to vote up, but I marked it as answer accepted. It makes so much more sense now. Thank You!! | |
| Nov 12, 2014 at 12:23 | vote | accept | John McKenzie | ||
| Nov 12, 2014 at 12:18 | comment | added | Nick Cox | Indeed. In that case the correlation is not just positive but identically $1$ even though agreement is clearly imperfect. But watch out: what you are calling "nonlinear" is a plot of velocity versus time, which whatever its interest has nothing to do with the correlation between values paired for the same times. What is linear and what is nonlinear depends entirely on what graph you are looking at. | |
| Nov 12, 2014 at 12:12 | comment | added | John McKenzie | I think I sort of understand, so say in one device I get velocity values 5,10,15,20,15,10,5 and the second device I get 8,13,18,23,18,13,8 (All 3 values higher) this would show a positive correlation as device 1=y and device 2 = x and the linearity is that y=x+3 assuming b=1. So even through the velocity values here increase then decrease (nonlinear) the correlation is still linear? | |
| Nov 12, 2014 at 12:04 | history | answered | Nick Cox | CC BY-SA 3.0 |