Please answer all four multiple choice questions.

1. The relation between two variables becomes smaller as the correlation approaches ____________.

a.0.5

b.0

c.-1

d.1

2. Which of the following best describes the term (multi)collinearity in a regression setting?

a.It is the assumption of linearity needed in regression under the general linear model.

b.It is the implication when the dependent variable and the independent variable are related each other.

c.If correlation between two or more predictors is near +1 or -1.

d.It is a very conservative test to control for type I error rates for multiple comparisons.

3. Which of the following statements regarding the odds ratio (OR) is false?

a.The OR cannot be a negative number.

b.If OR = 2.5 that means the odds in favor of the outcome for the group in the numerator is 2.5 times that of the group in the denominator.

c.OR = exp(logit) from a logistic regression model

d.If OR = 0, that means there are no differences between the two odds that are compared.

4. Which of the following statements is true?

a. ANOVA/ANCOVA and multiple linear regression are equivalent.

b. ANOVA/ANCOVA and multiple linear regression will generally yield very different results.

c. An interaction effect can only be tested between a continuous variable and a categorical variable.

d. An interaction effect can only be tested between two categorical variables.