Question #9 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 400metric tons of lemon imports. Is the prediction worthwhile? Lemon Imports 233 269 364 492 548 Crash Fatality Rate 15.9 15.7 15.4 15.4 15 Find the equation of the regression line. y= ___________+( __________ ) x (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 400 metric tons of lemon imports is _________fatalities per 100,000 population. (Round to one decimal place as needed.) Is the prediction worthwhile? A. Since all of the requirements for finding the equation of the regression line are met, the prediction is worthwhile. B. Since common sense suggests there should not be much of a relationship between the two variables, the prediction does not make much sense. C. Since there appears to be an outlier, the prediction is not appropriate. D. Since the sample size is small, the prediction is not appropriate.
Question #9 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 400metric tons of lemon imports. Is the prediction worthwhile? Lemon Imports 233 269 364 492 548 Crash Fatality Rate 15.9 15.7 15.4 15.4 15 Find the equation of the regression line. y= ___________+( __________ ) x (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 400 metric tons of lemon imports is _________fatalities per 100,000 population. (Round to one decimal place as needed.) Is the prediction worthwhile? A. Since all of the requirements for finding the equation of the regression line are met, the prediction is worthwhile. B. Since common sense suggests there should not be much of a relationship between the two variables, the prediction does not make much sense. C. Since there appears to be an outlier, the prediction is not appropriate. D. Since the sample size is small, the prediction is not appropriate.
Functions and Change: A Modeling Approach to College Algebra (MindTap Course List)
6th Edition
ISBN:9781337111348
Author:Bruce Crauder, Benny Evans, Alan Noell
Publisher:Bruce Crauder, Benny Evans, Alan Noell
Chapter3: Straight Lines And Linear Functions
Section3.CR: Chapter Review Exercises
Problem 15CR: Life Expectancy The following table shows the average life expectancy, in years, of a child born in...
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Question #9
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 400metric tons of lemon imports. Is the prediction worthwhile?
|
Lemon Imports
|
233
|
269
|
364
|
492
|
548
|
|
|---|---|---|---|---|---|---|
|
Crash Fatality Rate
|
15.9
|
15.7
|
15.4
|
15.4
|
15
|
|
Find the equation of the regression line.
y= ___________+( __________ ) x
(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
400 metric tons of lemon imports is _________fatalities per 100,000 population.
(Round to one decimal place as needed.)
Is the prediction worthwhile?
A. Since all of the requirements for finding the equation of the regression line are met, the prediction is worthwhile.
B. Since common sense suggests there should not be much of a relationship between the two variables, the prediction does not make much sense.
C. Since there appears to be an outlier, the prediction is not appropriate.
D. Since the sample size is small, the prediction is not appropriate.
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 400 metric tons of lemon imports. Is the prediction
worthwhile?
Lemon Imports
Crash Fatality Rate 15.9 15.7
233
269
364
15.4
548
492
15.4
15
ww...
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 400 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 all of the requirements for finding the equation of the regression line are met, the prediction is worthwhile.
O B. Since common sense suggests there should not be much of a relationship between the two variables, the prediction does not make much sense.
O C. Since there appears to be an outlier, the prediction is not appropriate.
O D. Since the sample size is small, the prediction is not appropriate.
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