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 525 metric tons of lemon imports. Is the prediction worthwhile? Lemon Imports 229 267 364 464 542 Crash Fatality Rate 16 15.8 15.6 15.4 15 Find the equation of the regression line. ŷ=+x (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
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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The best predicted crash fatality rate for a year in which there are 525 metric tons of lemon imports is ____________ fatalities per​ 100,000 population.

 

 
Is the prediction​ worthwhile?
 
 
A.Since common sense suggests there should not be much of a relationship between the two​ variables, the prediction does not make much sense.
 
B. Since the sample size is​ small, the prediction is not appropriate.
 
C. Since all of the requirements for finding the equation of the regression line are​ met, the prediction is worthwhile.
 
D.Since there appears to be an​ outlier, the prediction is not appropriate.
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 525 metric tons of lemon imports. Is the prediction
worthwhile?
Lemon Imports 229 267 364 464
Crash Fatality Rate 16 15.8 15.6 15.4
Find the equation of the regression line.
542
15
C
(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 525 metric tons of lemon imports. Is the prediction worthwhile? Lemon Imports 229 267 364 464 Crash Fatality Rate 16 15.8 15.6 15.4 Find the equation of the regression line. 542 15 C (Round the y-intercept to three decimal places as needed. Round the slope to four decimal places as needed.)
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