Explore BrainMass

Explore BrainMass

    Regression Analysis

    Not what you're looking for? Search our solutions OR ask your own Custom question.

    This content was COPIED from BrainMass.com - View the original, and get the already-completed solution here!

    This solution offers a regression analysis with research citations.

    © BrainMass Inc. brainmass.com November 24, 2021, 12:44 pm ad1c9bdddf

    Solution Preview

    y^=b0+b1x= y^=5.212+(-0.010x)(288)
    y^=5.212+-0.011x =5.201+(0.011)(288)=5.212

    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).

    y^=b0+b1x= ...

    Solution Summary

    This posting examines a sample question. Regression analysis with research citations are determined.