Answer:
D. Coefficient of Correlation
Explanation:
The name itself "Coefficient of Correlation" involves the word correlation, meaning relationship between two things.
The coefficient of Correlation is used to determine how strong a relationship is between two variables.
The formula of Coefficient of Correlation gives a value between -1 and 1. Moreover, it helps to plot a graph showing the strength of relationship.
1 : A strong positive relationship
-1: A Strong negative relationship
0: No relationship at all
One of the most used formula is Pearson Correlation Coefficient Formula, picture of which is attached. X and Y represent two different set of datas.
Note:
The other terms are defined as :
Coefficient of Determination : Square of correlation between predicted scores and actual scores. It usually ranges from 0 to 1 .
Standard deviation of estimate : represents the amount of variation among a set of values .
Standard Error of estimate : It is the measure of dispersion of sample means around population means.