Your privacy, your choice

We use essential cookies to make sure the site can function. We also use optional cookies for advertising, personalisation of content, usage analysis, and social media.

By accepting optional cookies, you consent to the processing of your personal data - including transfers to third parties. Some third parties are outside of the European Economic Area, with varying standards of data protection.

See our privacy policy for more information on the use of your personal data.

for further information and to change your choices.

Skip to main content

Table 3 Binomial logistic regression model, huillín sighting

From: Variation of local zoological knowledge about Southern river otter and other semi-aquatic mammals in Nahuel Huapi National Park (Argentina)

 

Estimate

Std. Error

Z value

Pr( >|z|)

(Intercept)

 − 0.35439

0.72208

 − 0.491

0.6236

Setting “urban”

 − 1.81850

0.62282

 − 2.920

0.0035 **

Gender “male”

 − 0.07268

0.50393

 − 0.144

0.8853

Protected areas staff

0.83065

0.67240

1.235

0.2167

Neighbour

0.40273

0.63878

0.630

0.5284

Age 30–60

0.01894

0.57143

0.033

0.9736

Age < 60

0.93273

1.08987

0.856

0.3921

Permanence 20–40

1.33677

0.57948

2.307

0.0211 *

Permanence < 40

1.90634

1.09932

1.734

0.0829

  1. Probability of huillín sighting (yes/no) (dependent variable), according to the (independent) variables: setting, gender, social group (tourist guides, staff of protected areas, neighbors from San Carlos de Bariloche), age and permanence. The “Estimate” column shows the parameters of the generalized linear regression (GLM) for each independent variable (beta). The reference categories are: setting “rural,” gender “female,” social group “tourist guides,” age “ > 30 years,” permanence “ > 20 years.”
  2. (*) Significant results in the model