Correlation coefficients range from to a correlation coefficient suggest the and of the relationship between variables. a correlation of indicates a perfect positive relationship; indicates a perfect negative relationship; and indicates that there is no linear correlation between the variables.

Correlation coefficients range from _-1__ to _+1__. A correlation coefficient suggest the _strength__ and _direction__ of the relationship between variables. A correlation of _+1__ indicates a perfect positive relationship; _-1__ indicates a perfect negative relationship; and _0__ indicates that there is no linear correlation between the variables.

Step-by-step explanation:

Correlation Coefficient(r) shows the direction and strength of relationship between two variables.  

The formula used to calculate correlation is:

where, Cov(x,y) = Covariance of x and y

  = mean of x

= mean of y

= standard deviation of x

  = standard deviation of y

and,  E = Expectation.

The correlation coefficient lies between -1 to +1.  

As the increase in the value of one variable also increases the value of other variables is called positive correlation. Also, the value of positive correlation lies between 0 to 1.

And decrease in the value of one variable, increases the value of other variables is called negative correlation. Also, the value of negative correlation lies between -1 to 0.

it is probably the graph on the bottom right.

a line is an defined derm because it

a)contains an infinite number of points b) can be used to create other geometric shapes c)describes something that does not have width or depth d) is a term that does not have a formal definition. a line is an undefined term because it: contains an infinite number of points.