Consider a linear regression analysis where you predict Y from X1. Then consider the same analysis as multiple regression where you’ve added X2 to the equation. Which statement is most likely to be true? A. The R squared value will be the same in each analysis B. The total sums of squared for Y will be the same in both analysis C. The error term (also called residual) will be the same for both analysis D. The sum of squared that can be attributed to the regression line will be the same for both analysis

Consider a linear regression analysis where you predict Y from X1. Then consider the same analysis as multiple regression where you’ve added X2 to the equation. Which statement is most likely to be true? A. The R squared value will be the same in each analysis B. The total sums of squared for Y will be the same in both analysis C. The error term (also called residual) will be the same for both analysis D. The sum of squared that can be attributed to the regression line will be the same for both analysis

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018

18th Edition

ISBN:9780079039897

Author:Carter

Publisher:Carter

Chapter4: Equations Of Linear Functions

Section: Chapter Questions

Problem 2SGR

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