Finding and Interpreting the Coefficient of Determination
Summary
Highlights
Introduction to the Coefficient of Determination00:00:05
The coefficient of determination is a measure that provides information about the correlation between two different variables. It is easily calculated, especially after determining the linear correlation coefficient R.
Calculating the Coefficient of Determination (R-squared)00:00:50
If you already have the linear correlation coefficient R, the coefficient of determination is simply the square of that number (R-squared). For instance, if R is approximately 0.93951, then R-squared is about 0.883 when rounded.
Interpreting the Coefficient of Determination00:01:40
The coefficient of determination indicates the variation of the dependent variable that is directly related to the variation of the independent variable. The closer the value is to one, the stronger the correlation. Converting it to a percentage, for example, 0.883 means 88.3% of the variation in Y is explained by the variation in X.
Understanding Unexplained Variation00:02:51
To find the percentage of unexplained variation, subtract the explained percentage from 100%. If 88.3% is explained, then 11.7% is unexplained. This gives a clear visualization of the correlation between the two variables.
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