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 425 metric tons of lemon imports. Is the prediction worthwhile? Lemon Imports Crash Fatality Rate 15.9 15.6 226 270 362 482 524 15.3 15.3 14.8 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.) The best predicted crash fatality rate for a year in which there are 425 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 the sample size is small, the prediction is not appropriate. O C. Since there appears to be an outlier, the prediction is not appropriate. O D. Since all of the requirements for finding the equation of the regression line are met, the prediction is worthwhile.
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 425 metric tons of lemon imports. Is the prediction worthwhile? Lemon Imports Crash Fatality Rate 15.9 15.6 226 270 362 482 524 15.3 15.3 14.8 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.) The best predicted crash fatality rate for a year in which there are 425 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 the sample size is small, the prediction is not appropriate. O C. Since there appears to be an outlier, the prediction is not appropriate. O D. Since all of the requirements for finding the equation of the regression line are met, the prediction is worthwhile.
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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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 425 metric tons of lemon
imports. Is the prediction worthwhile?
Lemon Imports
Crash Fatality Rate 15.9 15.6
226
270
362
482
524
15.3
15.3
14.8
...
Find the equation of the regression line.
y =
+
(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 425 metric tons of lemon imports is
fatalities per 100,000 population.
(Round to one decimal place as needed.)
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 there appears to be an outlier, the prediction is not appropriate.
D. Since all of the requirements for finding the equation of the regression line are met, the prediction is worthwhile.
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