Find the regression equation, letting the first variable be the predictor (x) variable. Using the listed lemon/crash data, where lemon imports are in metric tons and the fatality rates are per 100,000 people, find the best predicted crash fatality rate for a year in which there are 475 metric tons of lemon imports. Is the prediction worthwhile? Lemon Imports Crash Fatality Rate 15.9 15.6 234 266 354 15.3 496 15.3 515 O 14.8 Find the equation of the regression line. (Round the y-intercept to three decimal places as needed. Round the slope to four decimal places as needed.) The best predicted crash fatality rate for a year in which there are 475 metric tons of lemon imports is fatalities per 100,000 population. (Round to one decimal place as needed.) Is the prediction worthwhile? O A. Since all of the requirements for finding the equation of the regression line are met, the prediction is worthwhile O B. Since there appears to be an outlier, the prediction is not appropriate. OC. Since the sample size is small, the prediction is not appropriate. O D. Since common sense suggests there should not be much of a relationship between the two variables, the prediction does not make much sense.

Find the regression equation, letting the first variable be the predictor (x) variable. Using the listed lemon/crash data, where lemon imports are in metric tons and the fatality rates are per 100,000 people, find the best predicted crash fatality rate for a year in which there are 475 metric tons of lemon imports. Is the prediction worthwhile? Lemon Imports Crash Fatality Rate 15.9 15.6 234 266 354 15.3 496 15.3 515 O 14.8 Find the equation of the regression line. (Round the y-intercept to three decimal places as needed. Round the slope to four decimal places as needed.) The best predicted crash fatality rate for a year in which there are 475 metric tons of lemon imports is fatalities per 100,000 population. (Round to one decimal place as needed.) Is the prediction worthwhile? O A. Since all of the requirements for finding the equation of the regression line are met, the prediction is worthwhile O B. Since there appears to be an outlier, the prediction is not appropriate. OC. Since the sample size is small, the prediction is not appropriate. O D. Since common sense suggests there should not be much of a relationship between the two variables, the prediction does not make much sense.

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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