Question

Properties of coefficient of determination

Answer 1

[AI-generated answer — Bot]

The coefficient of determination (R2) is a measure of how well a model fits the data. It is calculated by taking the ratio of the explained variation to the total variation. The properties of the coefficient of determination are as follows:

1. R2 is always between 0 and 1.
2. A higher R2 indicates a better fit of the model to the data.
3. R2 is not affected by the scale of the data.
4. R2 is not affected by the number of independent variables in the model.
5. R2 is not affected by the number of observations in the data set.
6. R2 is not a measure of the accuracy of the model’s predictions.