So, my doubt is simple, I ran this model:

Just 2 bulls (a and b) and 2 semen (s and c) related to pregnancy. And I obtained these results:

So, I made the exponential:

For the Bullb has 60% more chance of pregnancy than Bullb, and SEMENc has 70% more chance than SEMENs. Ok, I know, I need consider just the interaction, but the result didn't make sense. The result should be negative too? Or is there a different way to interpret the interaction? Or this result didn't make sense in this analysis?

A table with additional information:

Code:

`glm(formula = pregnancy ~ Bull*SEMEN, family = binomial(),data = dt)`

Code:

```
Deviance Residuals:
Min 1Q Median 3Q Max
-1.2377 -0.8748 -0.6172 1.1183 1.8720
Coefficients:
Estimate Std.Error z value Pr(>|z|)
(Intercept) 0.1406 0.1878 0.749 0.454067
Bulla -0.9038 0.2427 -3.724 0.000196 ***
SEMENs -1.7022 0.2749 -6.191 0.00000000596 ***
Bulla:SEMENs 0.9330 0.3798 2.456 0.014039 *
```

Code:

```
(Intercept) Bulla SEMENs Bulla:SEMENs
1.1509434 0.4050290 0.1822767 2.5420404
```

A table with additional information:

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