Two variables have a positive linear correlation. Does the dependent variable increase or

decrease as the independent variable increses?

A$.$ The dependent variable increases

B$.$ The dependent variable decreases

C$.$ The dependent variable remains constant

Desribe the range for the correlation coefficient

A$.$ The range of values for the correlation coefficient is $0$ to $1,$ not inclusive.

B$.$ The range of values for the correlation coefficient is $-1$ to $1,$ inclusive.

C$.$ The range of values for the correlation coefficient is $0$ to $1,$ inclusive.

D$.$ The range of values for the correlation coefficient is $-1$ to $1,$ not inclusive.

Which value or $r$ indicates a stronger correlation: $r=0\mathrm{.}812$ or $r=-0\mathrm{.}886$

A$.r=-0\mathrm{.}886$ represents a stronger correlation because $0\mathrm{.}812>-0\mathrm{.}886$

B$.r=0\mathrm{.}812$ represents a stronger correlation because $0\mathrm{.}812>-0\mathrm{.}886$

C$.r=0\mathrm{.}812$ represents a stronger correlation because $|0\mathrm{.}812|>|-0\mathrm{.}886|$

D$.r=-0\mathrm{.}886$ represents a stronger correlation because $|-0\mathrm{.}886|>|0\mathrm{.}812|$

The scatter plot of a paired data set is shown. Determine whether there is a perfect positive

linear correlation, a strong positive correlation, a perfect negative linear correlation, a strong

negative correlation, or no linear correlation between the variables.

A$.$ No linear correlation

B$.$ Strong negative correlation

C$.$ Perfect positive correlation

D$.$ Strong negative correlation

E$.$ Perfect negative correlation