Results

Binomial Logistic Regression

Model Fit Measures
Model	Deviance	AIC	R²_McF
1	.	.	.

Model Coefficients - BM
Predictor	Estimate	SE	Z	p
Intercept	.	.	.	.
Note. Estimates represent the log odds of "BM = 1" vs. "BM = 0"

Binomial Logistic Regression

Model Fit Measures
Model	Deviance	AIC	R²_McF
1	4.50	8.50	0.926

Model Coefficients - BM
Predictor	Estimate	SE	Z	p
Intercept	1.10	1.15	0.95143	0.341
EVSMC	-21.55	7946.32	-0.00271	0.998
Note. Estimates represent the log odds of "BM = 1" vs. "BM = 0"

Binomial Logistic Regression

Model Fit Measures
Model	Deviance	AIC	R²_McF
1	4.50	8.50	0.926

Model Coefficients - BM
Predictor	Estimate	SE	Z	p
Intercept	1.10	1.15	0.95143	0.341
EVSMC	-21.55	7946.32	-0.00271	0.998
Note. Estimates represent the log odds of "BM = 1" vs. "BM = 0"

Binomial Logistic Regression

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Model Fit Measures
Model	Deviance	AIC	R²_McF
1	3.15e-10	6.00	-Inf

Model Coefficients - AF
Predictor	Estimate	SE	Z	p
Intercept	.	.	.	.
EVSMC	.	.	.	.
EVSMC*LNEVSMC	.	.	.	.
Note. Estimates represent the log odds of "AF = 1" vs. "AF = 0"

Binomial Logistic Regression

Model Fit Measures
Model	Deviance	AIC	R²_McF
1	4.50	8.50	0.926

Model Coefficients - BM
Predictor	Estimate	SE	Z	p
Intercept	1.10	1.15	0.95143	0.341
EVSMC	-21.55	7946.32	-0.00271	0.998
Note. Estimates represent the log odds of "BM = 1" vs. "BM = 0"

References

[1] The jamovi project (2022). jamovi. (Version 2.3) [Computer Software]. Retrieved from https://www.jamovi.org.

[2] R Core Team (2021). R: A Language and environment for statistical computing. (Version 4.1) [Computer software]. Retrieved from https://cran.r-project.org. (R packages retrieved from MRAN snapshot 2022-01-01).