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.

i do not know this sorry : (

i think it's ф or x=6,-6

step-by-step explanation:

-x^2=-36

x^2=-36

ф

or

if you mean by : -(x^2)=-36

it'll be: x^2=36

x=6,x=-6

hope it'll ! have a good day!

you for asking!