20.Both bivariate OLS regression and Pearson's correlation assume a ____________ relationship between variables.

Negative

Linear

Non-linear

Sigmoidal

21.Chi-square tests for independence compare differences in ______________ to determine a relationship between two variables in the population

means

observed and expected frequencies

variance

standard deviation

22.All tests of significance (e.g., t-test, F-test, Chi-Square) assume probability sampling was used.

True

False

23.You want to know what the strength and direction of the relationship is between age (measured in years) and victimization (measured as number of times victimized), which of the following would be the most appropriate test to conduct?

Pearson's Correlation

Independent sample t-test

Chi-Square

Crosstab

24.Which of the following best explains why multivariate regression analysis is used?

establishes temporal order

controls for confounding factors

makes few assumptions about the data

when not trying to generalize findings to a population

25.Which of the following best describes a positive correlation?

As X increases, Y decreases

As X decreases, Y increases

As X decreases, Y decreases

As X increases, Y stays the same

26.In a regression equation, what does the error term represent?

Where the regression line intersects the Y-axis

The slope of the relationship between X and Y

The likelihood that the a Type I or Type II error was made

Discrepancy between predicted and observed Y values

27.What does the intercept in a regression equation represent?

Where the regression line intersects the Y-axis

The slope of the relationship between X and Y

Where the predicted Y is equal to zero

Discrepancy between predicted and observed Y values

28.Which statement best describes the relationship in terms ofdirectionandstrengthbetween the two variables presented in the scatterplot below.