In Exercises, use technology to compute the sum-of squares error (SSE) for the given set of data and linear models. Indicate which linear model gives the better fit.
(0, 1), (1, 1), (2, 2); a. y = 0.4x + 1.1 b. y = 0.5x + 0.9
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