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.
(2, 4), (6, 8), (8, 12), (10, 0); a. y = −0.1x + 7 b. y = −0.2x + 6
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