This solution offers a regression analysis with research citations.
BENEFITS / INTRINSIC
The slope within this problem is -0.010976302=0.0109, whereas, the y-intercept is 5.21236895=5.212.
Both formulas are used within a regression line. For example, when using y' = a + bx or y^ = b0 + b1x, the y-intercept is represented by the "a," and the slope is represented by the "b."
The R-square value for this problem is 0.000126265; its significance is to represent the change in the response variable e from 0 to 1. The closer it is to 1, the greater the explanatory power of the regression equation (AIU live chat, 2006).
This posting examines a sample question.