# How Is A Probit Different From A Linear Probability Model

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### Lecture 10: Logistical Regression II Multinomial Data

Logit vs. Probit Review Use with a dichotomous dependent variable Need a link function F(Y) going from the original Y to continuous Y′ Probit: F(Y) = Φ-1(Y) Logit: F(Y) = log[Y/(1-Y)] Do the regression and transform the findings back from Y′to Y, interpreted as a probability Unlike linear regression, the impact of an

### The GENMOD Procedure

linear model may not be appropriate, since the linear predictor x i 0 can take on any value. For example, the mean of a measured proportion is between 0 and 1, but the linear predictor of the mean in a traditional linear model is not restricted to this range. It may not be realistic to assume that the variance of the data is constant for all

### Estimating the Impact of COVID-19 on Small and Medium Scale

approach, this study analyzes the data using the linear probability model to estimate the effect of the pandemic on the entrepreneurs and model the factors influencing coping strategies using a multivariate probit model. We found that majority of the entrepreneurs have been affected (both