The data below shows the reading (x) and math scores (y) of a number of students.
Reading Scores |
Math Scores |
1 |
4 |
2 |
5 |
3 |
8 |
3 |
6 |
4 |
7 |
5 |
7 |
6 |
8 |
7 |
10 |
7 |
9 |
8 |
10 |
8 |
9 |
9 |
10 |
r2 = 85.62%. It represents the percent of the variances in the values of Y that can be explained by knowing the value of X. 85.62% of the variation of Y (math scores) is explained by X (reading scores) and 14.37% is unexplained
R2 is called the coefficient of determination between two random Variables X and Y in the regression model. It explains how much difference in the Y variable can be explained by the X variable. That means how much variability can be caused in Y Variable due to 1 unit variability in X Variable.
Here coefficient of determination is 85.62% . This means 85.62% Variability in Y is due to X and 14.38% Variability can not be explained by X
The data below shows the reading (x) and math scores (y) of a number of students....
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