Answer:
Correct option:
Is a measure of the amount of variability in one variable that is shared by the other.
Explanation:
R-squared is a statistical quantity that measures, just how near the values are to the fitted regression line. It is also known as the coefficient of determination.
The coefficient of determination R² specifies the percentage of the variance in the dependent-variable (Y) that is forecasted or explained by linear regression and the forecaster variable (X, also recognized as the independent variable).
The coefficient of determination R² can be computed by the formula,
![R^(2)=[r(X,Y)]^(2)](https://img.qammunity.org/2021/formulas/mathematics/college/iuxnh4tkvax8a3ytrjdt6k79i28unsfm0c.png)
Or,

Here,
MSS = model/regression sum of squares
TSS = total sum of squares
Thus, the correct option is:
" Is a measure of the amount of variability in one variable that is shared by the other."