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? Lemon Imports Crash Fatality Rate 15.9 15.7 225 261 357 15.3 492 529 O 15.4 14.9 (Round the yintercept to three decimal praces as needed. Round the stope to Tour decimar piaces as needed. The best predicted crash fatality rate for a year in which there are 500 metric tons of lemon imports is (Round to one decimal place as needed.) fatalities per 100,000 population. Is the prediction worthwhile? O A. Since common sense suggests there should not be much of a relationship between the two variables, the prediction does not make much sense: O B. Since all of the requirements for finding the equation of the regression line are met, the prediction is worthwhile. O C. Since the sample size is small, the prediction is not appropriate. O 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 500 metric tons of lemon imports. Is the prediction worthwhile? Lemon Imports Crash Fatality Rate 15.9 15.7 225 261 357 15.3 492 529 O 15.4 14.9 (Round the yintercept to three decimal praces as needed. Round the stope to Tour decimar piaces as needed. The best predicted crash fatality rate for a year in which there are 500 metric tons of lemon imports is (Round to one decimal place as needed.) fatalities per 100,000 population. Is the prediction worthwhile? O A. Since common sense suggests there should not be much of a relationship between the two variables, the prediction does not make much sense: O B. Since all of the requirements for finding the equation of the regression line are met, the prediction is worthwhile. O C. Since the sample size is small, the prediction is not appropriate. O D. Since there appears to be an outlier, the prediction is not appropriate.
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
![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?
se
Lemon Imports
Crash Fatality Rate 15.9 15.7
225 261
357
15.3
492
15.4
529 D
14.9
se
se
Find the equation of the regression line.
se
(Round the y-intercept to three decimal places as needed. Round the slope to four decimal places as needed.)
The best predicted crash fatality rate for a year in which there are 500 metric tons of lemon imports is
fatalities per 100,000 population.
(Round to one decimal place as needed.)
Is the prediction worthwhile?
se
O A. Since common sense suggests there should not be much of a relationship between the two variables, the prediction does not make much sense.
see
O B. Since all of the requirements for finding the equation of the regression line are met, the prediction is worthwhile.
Next](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fadafbebc-0641-4102-b64a-091c0f61c4bb%2Ff1dc5e0a-7430-48e2-be5a-938d13f15d3c%2Fdojosuh_processed.jpeg&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 500 metric tons of lemon imports. Is the prediction
worthwhile?
se
Lemon Imports
Crash Fatality Rate 15.9 15.7
225 261
357
15.3
492
15.4
529 D
14.9
se
se
Find the equation of the regression line.
se
(Round the y-intercept to three decimal places as needed. Round the slope to four decimal places as needed.)
The best predicted crash fatality rate for a year in which there are 500 metric tons of lemon imports is
fatalities per 100,000 population.
(Round to one decimal place as needed.)
Is the prediction worthwhile?
se
O A. Since common sense suggests there should not be much of a relationship between the two variables, the prediction does not make much sense.
see
O B. Since all of the requirements for finding the equation of the regression line are met, the prediction is worthwhile.
Next
![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?
Lemon Imports
Crash Fatality Rate 15.9 15.7
225 261
357
492
529 O
14.9
15.3
15.4
Round the yntercept to three decimal places as needed. Round the stope to four decimal piaces as needed.)
The best predicted crash fatality rate for a year in which there are 500 metric tons of lemon imports is
fatalities per 100,000 population.
(Round to one decimal place as needed.)
Is the prediction worthwhile?
O A. Since common sense suggests there should not be much of a relationship between the two variables, the prediction does not make much sense.
O B. Since all of the requirements for finding the equation of the regression line are met, the prediction is worthwhile.
O C. Since the sample size is small, the prediction is not appropriate.
O D. Since there appears to be an outlier, the prediction is not appropriate.
Next](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fadafbebc-0641-4102-b64a-091c0f61c4bb%2Ff1dc5e0a-7430-48e2-be5a-938d13f15d3c%2Fzr56fn_processed.jpeg&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 500 metric tons of lemon imports. Is the prediction
worthwhile?
Lemon Imports
Crash Fatality Rate 15.9 15.7
225 261
357
492
529 O
14.9
15.3
15.4
Round the yntercept to three decimal places as needed. Round the stope to four decimal piaces as needed.)
The best predicted crash fatality rate for a year in which there are 500 metric tons of lemon imports is
fatalities per 100,000 population.
(Round to one decimal place as needed.)
Is the prediction worthwhile?
O A. Since common sense suggests there should not be much of a relationship between the two variables, the prediction does not make much sense.
O B. Since all of the requirements for finding the equation of the regression line are met, the prediction is worthwhile.
O C. Since the sample size is small, the prediction is not appropriate.
O D. Since there appears to be an outlier, the prediction is not appropriate.
Next
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