A set of X and Y scores has SSx= 36, SSy = 10, and SP = 20. The regression equation for these scores will have a slope constant of 2. A set of n = 9 pairs of X and Y values has a Pearson correlation of r= 0.80 and SSy= 100. The standard error of estimate for the regression equation is /36/9 = 2 points. In a multiple regression equation with two predictor variables, if b, is larger than b2, then X¡ is a better predictor of the Y-score variance than is X2.

A set of X and Y scores has SSx= 36, SSy = 10, and SP = 20. The regression equation for these scores will have a slope constant of 2. A set of n = 9 pairs of X and Y values has a Pearson correlation of r= 0.80 and SSy= 100. The standard error of estimate for the regression equation is /36/9 = 2 points. In a multiple regression equation with two predictor variables, if b, is larger than b2, then X¡ is a better predictor of the Y-score variance than is X2.

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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Question

True or false? If the statement is false, use one or two sentences to justify your answer.

A set of X and Y scores has SSx= 36, SSy = 10, and SP = 20. The regression equation for these scores will
have a slope constant of 2.
A set of n = 9 pairs of X and Y values has a Pearson correlation of r= 0.80 and SSy= 100. The standard
error of estimate for the regression equation is /36/9 = 2 points.
In a multiple regression equation with two predictor variables, if b, is larger than b2, then X¡ is a better
predictor of the Y-score variance than is X2.

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