Which of the following is True of relationships between variables?
A) A linear relationship is much simpler to work with than a curvilinear relationship.
B) Relationships between variables lack direction.
C) A negative relationship exists between two variables if low levels of one variable are associated with low levels of another.
D) The larger the size of the correlation coefficient between two variables, the weaker the association between them.
E) In a linear relationship between two variables, the strength and direction of the relationship changes over the range of both variables.

Question

Quizplus · Accepted Answer

A linear relationship is simpler than a curvilinear relationship because it can be represented by a straight line equation. Curvilinear relationships may require more complex equations to accurately represent the relationship between the variables.

Answer: C
 A negative relationship exists between two variables if low levels of one variable are associated with high levels of another. This means that as one variable increases, the other variable decreases.

Answer: E
 In a linear relationship between two variables, the strength and direction of the relationship is constant over the range of both variables. The correlation coefficient measures the strength of the relationship, with larger coefficients indicating a stronger association.

Which of the Following Is True of Relationships Between Variables