A high R-squared value (close to 1) suggests that the model's independent variables explain a significant amount of the variation in the dependent variable, indicating a good fit.
A low R-squared value (close to 0) indicates that the model's independent variables do not explain much of the variation in the dependent variable, suggesting a poor fit.
