Which of the following statements are true select all that apply

Correlation can vary from +1  to -1. It also tells how strong the  linear association between the two quantities variables.

Those values close to +1  indicate a high-degree of positive correlation, and values close to -1 indicate a high degree of negative correlation.

A positive correlation exists where the high values of one variable are associated with the high values of the other variables.

A negative correlation means association of high values of one with the low values of the others.

and

Correlation can have a value:

+1 = perfect positive correlation

0 = no correlation (the values don't seem linked at all)

-1 = perfect negative correlation

Therefore, the only options are true :

A-The correlation coefficient gives us information as to how strong the linear association is between the two quantities variables.

B -The correlation coefficient has units of  measurement and does always lie between -1 and +1.

C - The closer the absolute value r is to 1, the stronger linear relationship between the two variables.

Actuallyi took the guys advice that is above me and put iton my thing for an answer and it was wrong your answers are A and D

Step-by-step explanation:

europa2433

europa2433

step-by-step explanation:

i dont know nkw

step-by-step explanation:

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