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 which there are 500 metric tons of lemon imports. Is the prediction worthwhile? Lemon Imports Crash Fatality Rate 16 15.8 226 261 356 488 528 O 15.6 15.4 15.1 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.)

MATLAB: An Introduction with Applications
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Author:Amos Gilat
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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 500 metric tons of lemon imports. Is the prediction worthwhile?
528
Lemon Imports
Crash Fatality Rate
226 261
356
488
16 15.8
15.6
15.4
15.1
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 500 metric tons of lemon imports. Is the prediction worthwhile? 528 Lemon Imports Crash Fatality Rate 226 261 356 488 16 15.8 15.6 15.4 15.1 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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