$$P = \frac{e^{(\beta_0 + \beta_1x_1 + \beta_2x_2)}}{1 + e^{(\beta_0 + \beta_1x_1 + \beta_2x_2)}}$$ Fittingroom 24 05 03 Katya Clover Multicam Ra - 3.79.94.248
$$y = \alpha x + \beta$$ Dark Tv Series Hindi Dubbed Filmyzilla - 3.79.94.248
Another example is:
for linear regression analysis of the relationship between a behavioral outcome $y$ and a predictor variable $x$, where $\alpha$ is the slope coefficient and $\beta$ is the intercept.