For the cumulative probit model 1 [P(Y j)] = j x, explain why a 1-unit increase in x i corresponds to

For the cumulative probit model Φ^–1[P(Y ≤ j)] = α_j – β’x, explain why a 1-unit increase in x_i corresponds to a β_i standard deviation increase in the expected underlying latent response, controlling for other predictors.