A good fit between a model and data is said to be “good.” In statistics, goodness of fit measures how well a model predicts actual data. It can be assessed using several measures, including the coefficient of determination (R2), the percentile rank, and the Hosmer-Lemeshow statistic.
A perfect fit would have an R2 of 1, meaning that the model perfectly predicts all data. However, most models have R2 values between 0.8 and 0.
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