I have a question regarding a binary logistic regression.
Its about the plausibility of the influence of one independent variable.
I am analyzing the influence of the size of a farm on the use of the plough.
Here I am showing the average values of this describing variable (there are all in all six variables). In the analysis I take the logarithm of this variable.
group 1 (n=66): non-user of plough (average value of farm size 267 hectares; log of farm size=2,2; histogram below)
group 2 (n=181): user of plough (average value of farm size = 333 hectares; log farm size = 2,2; histogram below)
Edit: Regression results + collinearity diagnostics:
The results say, the larger the farm size, the more likely it is to belong to group 1. Although the farm size in this group is obviously much lower.
I can find no errors in the data, but I am surprised about this result.
Would You say that these results are an indication for misspecification or problems within the data?
I think taking the logarithm leads to an re-adjusting of the farm size variable. However,I dont like to make this process undone, because I am analyzing further three dependent variables with the same set of independent variables.