How do you interpret the probit coefficient?

Conversely, a negative coefficient indicates an inverse relationship. In this scenario, an increase in the predictor variable results in a decrease in the predicted probability. This means that the event in question becomes less likely to occur as the predictor variable increases.

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In statistics, coefficients play a crucial role in understanding the relationship between variables. A positive coefficient signifies a direct correlation, indicating that as one variable increases, the other also tends to increase.

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This phenomenon can be observed in various contexts, including predictive modeling. When dealing with predicted probabilities, a positive coefficient implies that an increase in the predictor variable leads to an increase in the likelihood of the predicted event occurring.