For the following set of data, X 3 Y 5 5 10 10 22 8 17 4 15 7. 13 Compute the Pearson correlation. Determine if there is a relationship, what type of relationship it is, and how strong or weak that relationship is, if any relationship exists. Find the linear regression equation for predicting Y from X (use the linear regression equation formula #1 from class handout). Use the regression equation that you derived (part b above) to compute the predicted Y for each actual value of X. Compare the predicted Y scores to the actual Y scores. Why is there a difference between the predicted Y values and the actual Y values? How do you explain this difference? a b. c.
For the following set of data, X 3 Y 5 5 10 10 22 8 17 4 15 7. 13 Compute the Pearson correlation. Determine if there is a relationship, what type of relationship it is, and how strong or weak that relationship is, if any relationship exists. Find the linear regression equation for predicting Y from X (use the linear regression equation formula #1 from class handout). Use the regression equation that you derived (part b above) to compute the predicted Y for each actual value of X. Compare the predicted Y scores to the actual Y scores. Why is there a difference between the predicted Y values and the actual Y values? How do you explain this difference? a b. c.
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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im stuck on part b! please break down the solution so that i can see how it was solved
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