1. Which of the following statements regarding binary/dichotomous logistic regression is true? The outcome variable has only two possible values (typically 0 and 1). b. The predictor variables must all be nominal categories. C. You have multiple outcome variables rather than just one. d. The outcome of interest is a continuous variable measured on at least an interval scale. 2. When using multiple linear regression, the predicted outcome will be: a. A value between 0 and 1. b. A value on the same scale and generally within the same range as the observed values of the outcome. c. An odds ratio. d. Equal to the standard deviation of the predictor variables plus the intercept/constant. 3. Dividing one estimate of odds by another estimate of odds results in: a. 0 b. The intercept/constant C. An odds ratio d. The slope of the predictor 4. When using multiple logistic regression, the predicted outcome will be: a. Equal to the standard deviation of the predictor variables plus the intercept/constant. b. An odds ratio. c. A value on the same scale and generally within the same range as the observed values of the outcome. d. A value between 0 and 1. 5. True or False: When an odds ratio for a variable is less than 1, an increase in that variable will actually decrease the probability of an outcome of 1