Summary metrics of logistic regression models predicting the overt reaction distances (n = 140) and flight initiation distances (n = 90) of coyotes observed in Edmonton, Alberta, between January and May in 2021 and 2022, with distances classified as less than 40 m (0) vs equal or greater than 40 m (1). Predictors included the past number of times (each measured within the previous 30 days and within a neighborhood) the overt reaction distance (overt reaction distance) was measured, hazing was conducted (hazing), or attractants were recorded (attractants), as well as the number of coyotes present during the event being evaluated (number of coyotes). The beta coefficients (β), odds ratios (OR), 95% confidence intervals (CI), Nakagawa and Schielzeth’s marginal and conditional R<sup>2</sup> are presented for each model. Model performance was compared to a null model using likelihood ratio tests with <i>P</i> < 0.05 as a significance level, and we reported whether there was a di
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Summary metrics of logistic regression models predicting the overt reaction distances (n = 140) and flight initiation distances (n = 90) of coyotes observed in Edmonton, Alberta, between January and May in 2021 and 2022, with distances classified as less than 40 m (0) vs equal or greater than 40 m (1). Predictors included the past number of times (each measured within the previous 30 days and within a neighborhood) the overt reaction distance (overt reaction distance) was measured, hazing was conducted (hazing), or attractants were recorded (attractants), as well as the number of coyotes present during the event being evaluated (number of coyotes). The beta coefficients (β), odds ratios (OR), 95% confidence intervals (CI), Nakagawa and Schielzeth’s marginal and conditional R2 are presented for each model. Model performance was compared to a null model using likelihood ratio tests with P < 0.05 as a significance level, and we reported whether there was a differe
