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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 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.)

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.)

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter4: Equations Of Linear Functions
Section4.6: Regression And Median-fit Lines
Problem 6PPS
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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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