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Match the coefficient of determination to the scatter diagram. The scales on the the x-axis and y-axis are the same for each scatter diagram

r2=0.98

r2=0.58

r2=1

.00

Scatter Diagram A: r2=1.00
Scatter Diagram B: r2=0.98
Scatter Diagram C: r2=0.58

Did you know?

Did you know that the coefficient of determination (r2) measures the proportion of the variance in one variable that can be explained by another variable in a scatter diagram? In other words, it quantifies how well the data points in the scatter diagram fit the regression line. A coefficient of determination equal to 1 (r2=1) indicates a perfect fit, meaning all the data points lie exactly on the regression line. On the other hand, a coefficient of determination close to 0.58 (r2=0.58) suggests that only 58% of the variance in one variable can be explained by the other variable. Finally, a coefficient of determination of 0.98 (r2=0.98) indicates a high proportion of the variance in one variable can be explained by the other variable, indicating a strong linear relationship between the two variables. Remember, the x-axis and y-axis scales remain the same in each scatter diagram.