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Answer:
D. Coefficient of Correlation
Step-by-step 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.
<u>Note: </u>
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.
Answer:
All real numbers less than or equal to 3
Step-by-step explanation:
we have
Solve for y
Subtract 2y both sides
The solution is the interval ------> (-∞,3]
All real numbers less than or equal to 3
In a number line the solution is the shaded area down of y=3 (close circle)
see the attached figure
