Dear all,
I have some troubles understanding the different results I get when performing a Bivariate or a Multivariate analysis on the same data.
1) Here I performed a Bivariate analysis between two variables. The result I get is correlation = 0. The three points stand on the same vertical line.
![SaraGo_0-1641826867557.png SaraGo_0-1641826867557.png](https://community.jmp.com/t5/image/serverpage/image-id/38877iD306352C2317BDC9/image-size/medium?v=v2&px=400)
2) If I add one variable and perform a multivariate analysis, JMP automatically selects the REML method. This time, when checking the correlation between the same two variables as above (SOT and LasP), the result is equal to 0.9623!
![SaraGo_1-1641827259409.png SaraGo_1-1641827259409.png](https://community.jmp.com/t5/image/serverpage/image-id/38878i4470091CCF95CBFE/image-size/medium?v=v2&px=400)
3) Finally, if I compute a multivariate analysis on several variables including those mentioned above, JMP automatically selects the Pairwise method. The correlation between LasP and SOT is equal to 0 (as it was in case 1).
![SaraGo_2-1641827464838.png SaraGo_2-1641827464838.png](https://community.jmp.com/t5/image/serverpage/image-id/38879iC4A0FE0FADC25FED/image-dimensions/497x466?v=v2)
I thought that the result of a couple of variables in the multivariate computation and the result of fit y to x on the same two variables should have been the same (maybe a small difference due to the different formula)… I am confused on how to interpret these results.
May anyone please provide some clearance, and explain me how to choose on what method to rely, or tell whether I am doing a mistake in one of the three calculations?
Regards,
Sara