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Match the concept with the description > Measure of the average amount that the predicted output deviates from the actual output. 1. Least squares The change in the output due to a one-unit change in an attribute is constant. 2. RSE The percentage of variance in the output explained by the linear model. 3. R2 4. Additive assumption > Method to fit a linear model for regression that minimize the RSS. 5. Linear assumption