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.)
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.)
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
Related questions
Question
100%
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.
![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.)](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fdd31814c-b74b-4f1d-846f-9635baf02446%2F528336f1-a6c3-44b7-954b-0a65af256cb8%2F7wlo0xg_processed.png&w=3840&q=75)
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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