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A value of 0 indicates that the response variable cannot be explained by the predictor variable at all. A value of 1 indicates that the response variable can be perfectly explained without error by the predictor variable. Sum of Squares Error (SSE) – The sum of squared differences between predicted data points (ŷi) and observed […]
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