Examples of using A logistic regression in English and their translations into Spanish
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The results of a logistic regression, shown in Figure VII.12,
For this analysis, we use a logistic regression, since the dependent variable is dichotomous support
To do so, we ran a logistic regression analysis to estimate what sociodemographic factors
we constructed a logistic regression model using the usual sociodemographic variables as predictors,
In this case, we applied a logistic regression model since the dependent variable was recodified in a binary manner support for stable democracy
We ran a logistic regression model with the support-for-decentralization variable as a binary(1= support;
In a logistic regression equation, having been a victim of a crime in the last twelve months is the only variable that is a statistically significant predictor of whether an individual believes that public officials should always respect the law.
In Figure II.18 we examine this finding in greater detail, presenting the coefficient of skin tone from a logistic regression model of the determinants of campaign work, for each country of the Americas.
Table VI-4 shows the results of a logistic regression estimating the indicators of the group expecting the Constituent Assembly to resolve the country's inequality
Figure III.3 depicts the results of a logistic regression, where the dependent variable is whether a person has been victim of crime during the past 12 months vic1r.
the Panel determined that a logistic regression model should be applied to the claims in question to predict whether the losses should be classified as(a) lost or stolen vehicles or(b) repairs to motor vehicles.
selected controls as the original cohort and performing a logistic regression, which is common,
that is, a logistic regression, in which the dependent variable is the proportion of crime victimization.
To investigate what characterizes people who consider themselves to be supporters of a political party, we constructed a logistic regression model including the following predictors:
the 2004 LAPOP study, we ran a logistic regression model with the question about victimization(VIC1)
of the sampling projects, the Panel determined that a logistic regression model should be applied to all losses in the target group to predict whether specific losses should be classified as for lost or stolen motor vehicles or for repairs.
we develop a logistic regression model with controls for wealth,
we ran a logistic regression model using the following variables as predictors:
The sample output shows metadata for a logistic regression model.
A logistic regression analysis was used to estimate all models.