Question

1) The proportion of the variance in the dependent variable that is predicted from the independent variable is _____.

a. goodness of fit

b. the coefficient of determination

c. prediction band

d. confidence level

e. none of these choices is correct

2. Data visualization in the form of a scatterplot of the correlation data can reveal linearity while Pearson’s r cannot.

True or False?

3. Which chi-square-based measure of association is best used with variables that have only two response categories?

a. Pearson

b. phi

c. contingency coefficient C

d. Cramer's V

e. None of these are correct

4. To avoid reporting trivial data in a research project, the researcher should probe for which of the following in determining a relationship between variables?

a. magnitude

b. direction

c. statistical-significance

d. common variance

e. All of these are correct

5. A bivariate normal distribution is NOT a requirement of Pearson’s r.

True or False?

Answer 1