Timeline for How to interpret zero order correlation and higher order partial correlation?
Current License: CC BY-SA 3.0
4 events
| when toggle format | what | by | license | comment | |
|---|---|---|---|---|---|
| Apr 3, 2018 at 18:51 | vote | accept | SONY | ||
| Apr 3, 2018 at 13:30 | comment | added | Gregg H | Think of it this way: x3 impacts BOTH evaporation AND the other variables affecting evaporation. The direct effect from x3 may be small, but if you aggregate the indirect effects from x3 to x_i to y, you obtain the larger impact you see if you were to examine just x3 & y. | |
| Apr 3, 2018 at 6:49 | comment | added | SONY | Hi Gregg, It helps a lot. But still I have confusion. As you explained x3 may have some influence on the other variables (often called multicollinearity in this context). So correlation between x1 & x3 is 0.79, x2 & x3 is 0.94, x4 & x3 is 0.36, x5 & x3 is 0.32, x6 & x3 is -0.40 and x7 & x3 is -0.66. Basically these x1,x2....x7 are climatic variables which shows impact on evaporation (y). If I explain direct correlation, climatic variable x3 have large impact on evaporation, on the others hand partial correlation shows x3 have very low impact on evaporation. Please throw some lights. | |
| Apr 2, 2018 at 15:23 | history | answered | Gregg H | CC BY-SA 3.0 |