**Exercise 2.** Consider the setting of Exercise 1. The residuals corresponding to the LSQ line, \( HR = 133.72 - 280.8 \, BA \), are plotted in the graph below.**Graph Description:**The graph is titled "Residuals Versus the Order of the Data (response is HR)." The x-axis is labeled "Observation Order" and ranges from 1 to 14. The y-axis is labeled "Residual" and ranges from -30 to 30.The plot consists of red points connected by a blue line, showing the residuals of each observation. It starts near -30 at observation 1, moves up to around 0 at observation 3, rises to about 20 at observation 4, fluctuates between approximately 20 and -10 across observations, and peaks near 30 at observation 13.**Questions:**(a) Using the residual graph only, estimate how far the fitted/predicted number of home runs (fitted \(\hat{y}_5\)) is from the observed number of home runs (observed \(y_5\) value) for the 5th observation in the data set.(b) Give an approximate 95% prediction interval for the number of home runs hit by an MVP who has a batting average of 0.350. Explain your reasoning.

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Answered: Consider the setting of Exercise 1. The…

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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Consider the setting of Exercise 1. The residuals corresponding to the LSQ line, HR = 133.72 – 280.8 BA, are he graph below. Residuals Versus the Order of the Data (response is HR) 30 20 10