103289 130023 16068 3286 24089 6309 14502 | 62595 23666 35833 96 71 76 112 43 87 131 136 80 52 (a) Use Excels Data Analysis to find the equation of the regression line and a Line Fit Plot. Write the equation of the regression line. Do you think the line gives accurate predictions? Why? (b) Delete the observation with largest x value from the data set. Redo the Data Analysis to obtain the new equation of the regression line and the new Line Fit Plot calculations for the new data set. Write the equation of the regression line. Does this observation greatly affect the equation of the line? Compare the signs of the slopes of the two regression lines.
103289 130023 16068 3286 24089 6309 14502 | 62595 23666 35833 96 71 76 112 43 87 131 136 80 52 (a) Use Excels Data Analysis to find the equation of the regression line and a Line Fit Plot. Write the equation of the regression line. Do you think the line gives accurate predictions? Why? (b) Delete the observation with largest x value from the data set. Redo the Data Analysis to obtain the new equation of the regression line and the new Line Fit Plot calculations for the new data set. Write the equation of the regression line. Does this observation greatly affect the equation of the line? Compare the signs of the slopes of the two regression lines.
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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