produc a regression equation of Y = 3X -4. 4. A set of n = 12 pairs Find the predicted Y value for each of the following X scores: -1, 0, 2, 3, 5. 5. For the following data: a. Find the regression equation for predicting Y from X. b. Calculate the Pearson correlation for these data. Use r² and SS, to compute SSresidual and the standard error of estimate for the equation. X Y 4 5 2 1 3 0 4 7 pted from Chapter 14 Problems from Essentials of Statistics for the Behavioral Sciences (9th ed_ etter. Wallnau, and Forzano. 7 9 6 2 5 4
produc a regression equation of Y = 3X -4. 4. A set of n = 12 pairs Find the predicted Y value for each of the following X scores: -1, 0, 2, 3, 5. 5. For the following data: a. Find the regression equation for predicting Y from X. b. Calculate the Pearson correlation for these data. Use r² and SS, to compute SSresidual and the standard error of estimate for the equation. X Y 4 5 2 1 3 0 4 7 pted from Chapter 14 Problems from Essentials of Statistics for the Behavioral Sciences (9th ed_ etter. Wallnau, and Forzano. 7 9 6 2 5 4
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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