Answer to Question 1
ANS: D
As the negative or positive values approach zero, the strength of the relationship decreases. As the r value approaches 1 or +1, the strength of the relationship increases.
Answer to Question 2
ANS: A
The chi-square test of independence examines the frequencies of observed data and compares
them with the frequencies that could be expected to occur if the data categories were actually independent of each other.
The data do not have to be interval level.
Post hoc analyses can be used to identify the categories where the differences lie.
Results are reported as differences from expected frequencies.