Answer:
c. the strength of the relationship between the x and y variables
Step-by-step explanation:
The correlation coefficient refers to the relationship between the two variables
Moreover, it has two mainly correlations i.e
Perfect positive correlation: In this, the correlation coefficient is 1
And, the other is negative correlation: In this, the co
if the correlation coefficient is 1 we have a perfect positive correlation and if the correlation coefficient is -1 than it would be a negative correlation
It lies value between the -1 and 1
hence, the correct option is c.
The option that correctly describes what the correlation determines is:
C "the strength of the relationship between the x and y variables"
When we have a measure of two variables that can be modeled with a line, we say that there is a correlation between these two variables.
A positive correlation means that when one variable increases, the other also increases, while a negative correlation means that when one decreases, the other increases.
Now, the value itself of the correlation tells us how much our measure "adjusts" to a line. If the correlation is equal to 1 or -1, then the two variables are linear.
If the correlation is smaller than 1 or larger than -1, then the variables behave kinda linearly, but not exactly.
So what the correlation determines is the relationship between the x and y variables, from that we conclude that the correct option is C: "The strength of the relationship between the x and y variables"
If you want to learn more about correlation, you can read:
https://brainly.com/question/14289293
