The regression line $\tilde { y } = 2 + 3 x$ has been fitted to the data points (4, 11), (2, 7), and (1, 5). The sum of squares for error will be 10.0.

Question

Quizplus · Accepted Answer

The sum of squares for error (SSE) is calculated by finding the difference between the observed and predicted values, squaring them, and summing them up. For the given data points, SSE = (11-14)^2 + (7-8)^2 + (5-5)^2 = 9 + 1 + 0 = 10.

The Regression Line y~=2+3x\tilde { y } = 2 + 3 xy~​=2+3x

The Regression Line $\tilde { y } = 2 + 3 x$