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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 450 metric tons of lemon imports. Is the prediction worthwhile? 512 D Lemon Imports Crash Fatality Rate 15.9 15.8 230 261 365 470 15.5 15.3 14.8 Find the equation of the regression line. (Round the y-intercept three decimal places as needed. Round the slope four decimal places as needed.)

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 450 metric tons of lemon imports. Is the prediction worthwhile? 512 D Lemon Imports Crash Fatality Rate 15.9 15.8 230 261 365 470 15.5 15.3 14.8 Find the equation of the regression line. (Round the y-intercept three decimal places as needed. Round the slope four decimal places as needed.)

MATLAB: An Introduction with Applications
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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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 450 metric tons of lemon imports. Is the prediction worthwhile? Lemon Imports Crash Fatality Rate 15.9 15.8 230 261 365 470 512 15.5 15.3 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.)
Transcribed Image Text: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 450 metric tons of lemon imports. Is the prediction worthwhile? Lemon Imports Crash Fatality Rate 15.9 15.8 230 261 365 470 512 15.5 15.3 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.)
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