></td>
<td>
<p>Y variable.</p>
</td></tr>
</table>


<h3>Details</h3>

<p>Let <b>y</b> be a vector of response variable of accessing credit for each applicant
<i>n</i>, such that <i>y_{i} =  1</i>  if the applicant-<i>i</i>
has access to credit, and zero otherwise. Furthermore, let
let <i>\bold{x} = x_{ij}</i>,  where
<i>i=1,...,n</i> and <i>j=1,...,p</i> characteristics of the applicants.
The log-odds can be define as:
</p>
<p style="text-align: center;"><i>log(\frac{&pi;_{i}}{1-&pi;_{i}}) = &beta;_{0}+\bo