which one is equal to explained variation divided by total variation
A) SUM OF SQUARE DUE TO REGRESSION
B) COEFFICIENT OF DETEMINATION
C) Standard error of estimate
D) COEFFICIENT of correlation
Answers
(B) is right option I hope it will help you please mark as brainliest thanks and follow me
COEFFICIENT OF DETERMINATION
(B) Coefficient of determination is equal to explained variation divided by total variation.
KEY TAKEAWAYS OF COEFFICIENT OF DETERMINATION:
* When forecasting the outcome of a particular event, the coefficient of determination is a statistical measurement that assesses how variations in one variable may be explained by changes in a second variable.
* In other words, this coefficient, often known as R-squared (or R2), determines the strength of the linear relationship between two variables and is frequently used by academics when performing trend analysis.
* The coefficient of determination is a complicated concept focusing on statistical data analysis. The coefficient of determination is a mathematical expression that describes how much variability in one component may be explained by its connection with another.
R-squared (or R2) is a frequent name for this coefficient, which is also known as the "goodness" coefficient.