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This line can then make predictions! This means when 0 hours are studied, the model predicts a test score of 60 points. The line is characterized by its slope m and intercept point b. A famous statistician named Ronald Fisher formalized the model and methods for fitting a line to data. From a computational side, linear regression has pretty minimal requirements.