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I'm running data analysis for an online marketplace. I want to determine the influence of the time a perishable good (say a concert ticket) is online versus the probability of a sale.

I have made a plot showing that 'time online' is an important factor: items online for 2 days have 1.5x the probability of selling compared to 3 hours online. In what way can I prove this statistically?

I have looked into probit models. Is that the right way to go?

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    $\begingroup$ You can try logit or probit models for this. Based on the regression coefficients, you can find the actual impact of time on probability of selling. $\endgroup$
    – steadyfish
    Commented Jul 23, 2013 at 13:29

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