Hey
I have a sample with different start ups, the funding amount, and three different investor types (A,B,C). I run a probit model to investigate if the investor type has an influence on the survival rate (maybe later I will work with a hazard regression but for the beginning probit is okay).
Investor type and survival are dummy variables which equals one if a specific investor invest in the startup and if the startup survive.

So I use:
probit survive investorA investorB ln(funding_amount)

I have significant negative coefficients for A and B and a significant positive coefficient for the funding amount. So, I would say investor C is the best in case of survival. But I also have a significant negative constant. Does this mean everything depends on the funding amount because the term would be negative if A and B are zero?

On the other hand, if I do:
probit survive investorC ln(funding_amount)
the coefficient for C is significant and positive.

So how could I interpret the constant term? And could I say C is the best investor?

Thanks for your help

Kind regards,
Alex