Esito

Survey on the effect of recreational activities on university performance collected on 485 students.

datasets

Contains the datasets for use with the book Salvan, Sartori and Pace (2020, ISBN:978-88-470-4002-1) "Modelli Lineari Generalizzati".

Nicola Sartori

MLGdata

Datasets for Use with Salvan, Sartori and Pace (2020)

Esito function

A data frame with 18 observations on the following 4 variables<dl class="dl-horizontal">
 <dt><code>freq</code></dt><dd>frequency of students in the in the cross classification of the following three variables</dd>
 <dt><code>sex</code></dt><dd>factor with 2 levels (<code>f, m</code>)</dd>
 <dt><code>ore</code></dt><dd>weekly hours of recreational activities, factor with 3 levels (<code>m10</code>, less than 10 hours;
 <code>m15</code>, between 10 and 15 hours; <code>m20</code>, more than 15 hours)</dd>
 <dt><code>voto</code></dt><dd>university performance in a given exam, factor with 3 levels (<code>ins</code>, not sufficient;
 <code>suff</code>, sufficient; <code>buono</code>, good)</dd>
</dl>

Format

Recreational activities and university performance — Esito

A data frame with 18 observations on the following 4 variables<dl class='dl-horizontal'>
 <dt><code>freq</code></dt><dd>frequency of students in the in the cross classification of the following three variables</dd>
 <dt><code>sex</code></dt><dd>factor with 2 levels (<code>f, m</code>)</dd>
 <dt><code>ore</code></dt><dd>weekly hours of recreational activities, factor with 3 levels (<code>m10</code>, less than 10 hours;
 <code>m15</code>, between 10 and 15 hours; <code>m20</code>, more than 15 hours)</dd>
 <dt><code>voto</code></dt><dd>university performance in a given exam, factor with 3 levels (<code>ins</code>, not sufficient;
 <code>suff</code>, sufficient; <code>buono</code>, good)</dd>
</dl>

Esito: Recreational activities and university performance

Description

Usage

Arguments

Format