Binary logistic regression with one categorical or one ordinal predictor in SPSS

Описание: Dependent, sample, P-value, hypothesis testing, alternative hypothesis, null hypothesis, statistics, categorical variable, continuous variable, assumptions, standard deviation, standard error, mean, dependent variable, independent variable, grouping variable, descriptive statistics, significance, one sided tail, two sided tails, 95% confidence interval, upper, lower, average, exposure, explanatory, statistics, statistical method, continuous variable, Descriptive, output, table, descriptive statistics, statistically significance value, Binary, dichotomous, Odds ratio, OR, frequency, likelihood ratio, observation, standard error, z-score, outcome, response, category, parameter coding, percent, cases, missing cases, predictor, Wald test, degree of freedom(df), Exp(B), chi-square, constant, B value, Cox & Snell R Square, -2 Log likelihood, Nagelkerke R Square, Hosmer and Lemeshow Test, contingency table, observed, expected, correlation matrix, probability, Ordinal predictor, Binary Binomial, ordinal variable, binomial variable, outcome, response, explanatory, exposure, independent, relationship, association, predictor, frequencies, model, p-value, confidence interval, standard error, coefficient, ordinal