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 500 metric tons of lemon imports. Is the prediction worthwhile? Lemon Imports Crash Fatality Rate 16.1 16 234 260 360 15.7 464 15.5 547 15.1 Find the equation of the regression line. (Round the constant three decimal places as needed. Round the coefficient to six decimal places as needed.) The best predicted crash fatality rate for a year in which there are 500 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 there appears to be an outlier, the prediction is not appropriate. O B. Since all of the requirements for finding the equation of the regression line are met, the prediction is worthwhile. OC. Since the sample size is small, the prediction is not appropriate. OD. 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 500 metric tons of lemon imports. Is the prediction worthwhile? Lemon Imports Crash Fatality Rate 16.1 16 234 260 360 15.7 464 15.5 547 15.1 Find the equation of the regression line. (Round the constant three decimal places as needed. Round the coefficient to six decimal places as needed.) The best predicted crash fatality rate for a year in which there are 500 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 there appears to be an outlier, the prediction is not appropriate. O B. Since all of the requirements for finding the equation of the regression line are met, the prediction is worthwhile. OC. Since the sample size is small, the prediction is not appropriate. OD. 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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