Goodness of fit is used to measure wellness of

actual values
predicted values
residual values
indexed values

The correct answer is: B. predicted values.

Goodness of fit is a measure of how well a model fits the data. It is calculated by comparing the predicted values of the model to the actual values of the data. The closer the predicted values are to the actual values, the better the model fits the data.

A. Actual values are the values that are observed in the data. They are used to calculate the predicted values of the model.

C. Residual values are the differences between the predicted values and the actual values. They are used to measure the error of the model.

D. Indexed values are values that are assigned to each data point. They are not used to calculate the goodness of fit.

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