1. Which of the following was identified as one of the classical linear regression assumptions?

A. Values of the dependent variable are fixed. B. The error term should have a constant variance. C. There must be variability in all dependent and independent variables. D. Sample size should be greater than the parameters.

2. Intended for quantitative data, ______ contain a horizontal axis representing one variable and a vertical axis for the other variable, and the pattern of points can indicate whether a relationship is positive or negative.

A. pie charts B. scatterplots C. histograms D. bar charts

3. Scatterplots are intended for ______ data.

A. nominal and ratio B. ratio and interval C. nominal and ordinal D. ordinal and interval

4. A bivariate regression consists of ______.

A. one independent variable and one dependent variable B. two independent variables and one dependent variable C. one independent variable and two dependent variables D. two independent variables and two dependent variables

5. The value of the dependent variable when all the values of the independent variables in the equation equal zero is referred to as the ______.

A. regression coefficient B. regression constant C. regression analysis D. regression estimation

6. Linear regression is best used with a continuous, ______-level dependent variable.

A. nominal B. ordinal C. ratio D. interval 4

7. In a regression analysis with two variables, an independent variable X and a dependent variable Y, which of the following regression equations is used?

A. Y = a+bX B. Y = a+bX +e C. D. a=Y -bX

8. Pearson's r measures correlation on a scale of ______ to ______.

A. -2; 2 B. -1; 0 C. -1; 1 D. 0; 1

9. ______ is a commonly reported statistic interpreted as the percentage of variation in Y that can be explained by the variation in the independent variable.

A. Pearson's r B. R-squared C. z Test D. t Score

10. The choice to vote or not is an example of a ______ dependent variable.

A. ratio-level B. dichotomous C. continuous D. constant

11. Estimates of the unobserved population parameters are referred to as ______.

A. regression coefficients B. regression constants C. scatterplots D. regression estimations

12. A ______ is a number that tells how much Y will change for a one-unit change in a particular independent variable and a dependent variable while controlling for all other independent variables in question.

A. regression constant B. logistic regression coefficient C. maximum likelihood estimation D. multivariate regression coefficient

13. The "Average" function in excel allows a user to

A. Count the sample size B. Calculate the regression line C. Calculate the mean D. Name a group of cells Y = a+bX 5