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 475 metric tons of lemon imports. Is the predictionworthwhile? Lemon Imports 227 270 364 466 530 Crash Fatality Rate 16.1 15.9 15.6 15.6 15.2 Find the equation of the regression line. y= nothing+( nothing)x (Round the constant three decimal places as needed. Round the coefficient to six decimal places as needed.) The best predicted crash fatality rate for a year in which there are 475 metric tons of lemon imports is nothing fatalities per 100,000 population. (Round to one decimal place as needed.) Is the prediction worthwhile? A. Since there appears to be an outlier, the prediction is not appropriate. B. Since all of the requirements for finding the equation of the regression line are met, the prediction is worthwhile. C. Since common sense suggests there should not be much of a relationship between the two variables, the prediction does not make much sense. D. Since the sample size is small, 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 475 metric tons of lemon imports. Is the predictionworthwhile? Lemon Imports 227 270 364 466 530 Crash Fatality Rate 16.1 15.9 15.6 15.6 15.2 Find the equation of the regression line. y= nothing+( nothing)x (Round the constant three decimal places as needed. Round the coefficient to six decimal places as needed.) The best predicted crash fatality rate for a year in which there are 475 metric tons of lemon imports is nothing fatalities per 100,000 population. (Round to one decimal place as needed.) Is the prediction worthwhile? A. Since there appears to be an outlier, the prediction is not appropriate. B. Since all of the requirements for finding the equation of the regression line are met, the prediction is worthwhile. C. Since common sense suggests there should not be much of a relationship between the two variables, the prediction does not make much sense. D. Since the sample size is small, the prediction is not appropriate.
Algebra & Trigonometry with Analytic Geometry
13th Edition
ISBN:9781133382119
Author:Swokowski
Publisher:Swokowski
Chapter5: Inverse, Exponential, And Logarithmic Functions
Section: Chapter Questions
Problem 52RE
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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
475
metric tons of lemon imports. Is the predictionworthwhile?
Lemon Imports
|
227
|
270
|
364
|
466
|
530
|
|
---|---|---|---|---|---|---|
Crash Fatality Rate
|
16.1
|
15.9
|
15.6
|
15.6
|
15.2
|
|
Find the equation of the regression line.
y=
nothing+(
nothing)x
(Round the constant three decimal places as needed. Round the coefficient to six decimal places as needed.)
The best predicted crash fatality rate for a year in which there are
nothing
fatalities per 100,000 population.
475
metric tons of lemon imports is
(Round to one decimal place as needed.)
Is the prediction worthwhile?
Since there appears to be an outlier, the prediction is not appropriate.
Since all of the requirements for finding the equation of the regression line are met, the prediction is worthwhile.
Since common sense suggests there should not be much of a relationship between the two variables, the prediction does not make much sense.
Since the sample size is small, the prediction is not appropriate.
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