I - m not sure how to interpret my binary logistic regression output from SPSS - Cross Validated 1

Logistic regression spss. By using our site, you acknowledge that you have read and understand our Cookie Policy, Privacy Policy, and our Terms of Service. I'm not sure how to interpret my binary logistic regression output from SPSS. My dependant variable is diagnosis of cancer malignant being 0 and benign being 1. And my covariate is mean radius (of the tumour). I get this: How do I interpret this in words? The interpretation of the output is given below: B - This is the coefficient for the constant (also called the "intercept") in the model. S.E. - This is the standard error around the coefficient for the constant. Wald and Sig. - This is the Wald chi-square test that tests the null hypothesis that the constant equals 0. This hypothesis is rejected because the p-value (listed in the column called "Sig.") is smaller than the critical p-value of .05 (or .01). Hence, we conclude that the constant is not 0. df - This is the degrees of freedom for the Wald chi-square test. There is only one degree of freedom because there is only one predictor in the model, namely the constant. Exp(B) - This is the exponentiation of the B coefficient, which is an odds ratio. This value is given by default because odds ratios can be easier to interpret than the coefficient, which is in log-odds units.