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3. A set of n = 18 pairs of scores (X and Y value SS, = 20, SS, = 80, and SP = 10. If the mea X values is M My a. Calculate the Pearson correlation for the s %3D %3D 8 and the mean for the Y va %3D = 10. b. Find the regression equation for predictin

3. A set of n = 18 pairs of scores (X and Y value SS, = 20, SS, = 80, and SP = 10. If the mea X values is M My a. Calculate the Pearson correlation for the s %3D %3D 8 and the mean for the Y va %3D = 10. b. Find the regression equation for predictin

MATLAB: An Introduction with Applications
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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2. The regression equation is intended to be the "best fitting" straight line for a set of data. What is the criterion for "best fitting"? 3. A set of n = 18 pairs of scores (X and Y values) has SS, = 20, SS, X values is M, = 8 and the mean for the Y values is = 10. 80, and SP 10. If the mean for the %3D M, a. Calculate the Pearson correlation for the scores. b. Find the regression equation for predicting Y from the X values. 15 pairs of scores (X and Y values) pro- equation of Y = 2X + 6. Find the predicted Y value for each of the following X scores: 4. A set of n = %3D duces a regression
Transcribed Image Text:2. The regression equation is intended to be the "best fitting" straight line for a set of data. What is the criterion for "best fitting"? 3. A set of n = 18 pairs of scores (X and Y values) has SS, = 20, SS, X values is M, = 8 and the mean for the Y values is = 10. 80, and SP 10. If the mean for the %3D M, a. Calculate the Pearson correlation for the scores. b. Find the regression equation for predicting Y from the X values. 15 pairs of scores (X and Y values) pro- equation of Y = 2X + 6. Find the predicted Y value for each of the following X scores: 4. A set of n = %3D duces a regression
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