I running a regression model where a variable is indicated to have a negative impact on the predicted variable:
What I cannot understand is that the spearman correlation shows a .172 statistically significant effect that is obviously positive.
Why is that and which result should I trust?
Code:
Estimate Std. Error Wald df Sig. 95% Confidence Interval
Lower Bound Upper Bound
Threshold [email_contact = 1] -4.682 .664 49.713 1 .000 -5.983 -3.380
[email_contact = 2] -2.401 .548 19.172 1 .000 -3.475 -1.326
[email_contact = 3] .040 .526 .006 1 .940 -.992 1.071
Location [unit_supportc=1] -.162 .771 .044 1 .834 -1.674 1.351
[unit_supportc=2] .170 .583 .085 1 .771 -.973 1.313
[unit_supportc=3] -1.286 .497 6.699 1 .010 -2.260 -.312
[unit_supportc=4] -.568 .267 4.533 1 .033 -1.090 -.045
[unit_supportc=5] 0 . . 0 . . .
Why is that and which result should I trust?