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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? Find the equation of the regression line. ​(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 500 metric tons of lemon imports is _______ fatalities per​ 100,000 population. ​(Round to one decimal place as​ needed.) Is the prediction​ worthwhile? A. Since the sample size is​ small, the prediction is not appropriate.   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 all of the requirements for finding the equation of the regression line are​ met, the prediction is worthwhile.   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? Find the equation of the regression line. ​(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 500 metric tons of lemon imports is _______ fatalities per​ 100,000 population. ​(Round to one decimal place as​ needed.) Is the prediction​ worthwhile? A. Since the sample size is​ small, the prediction is not appropriate.   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 all of the requirements for finding the equation of the regression line are​ met, the prediction is worthwhile.   D. Since there appears to be an​ outlier, the prediction is not appropriate.

A First Course in Probability (10th Edition)
A First Course in Probability (10th Edition)
10th Edition
ISBN:9780134753119
Author:Sheldon Ross
Publisher:Sheldon Ross
Chapter1: Combinatorial Analysis
Section: Chapter Questions
Problem 1.1P: a. How many different 7-place license plates are possible if the first 2 places are for letters and...
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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?

  • Find the equation of the regression line. ​(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 500 metric tons of lemon imports is _______ fatalities per​ 100,000 population. ​(Round to one decimal place as​ needed.)
  • Is the prediction​ worthwhile?
A. Since the sample size is​ small, the prediction is not appropriate.
 
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 all of the requirements for finding the equation of the regression line are​ met, the prediction is worthwhile.
 
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 16.1 15.9 230 265 360 496 545 P 15.7 15.6 15.1 Find the equation of the regression line. (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 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 the sample size is small, the prediction is not appropriate. 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 all of the requirements for finding the equation of the regression line are met, the prediction is worthwhile. O D. Since there appears to be an outlier, 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 500 metric tons of lemon imports. Is the prediction worthwhile? Lemon Imports Crash Fatality Rate 16.1 15.9 230 265 360 496 545 P 15.7 15.6 15.1 Find the equation of the regression line. (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 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 the sample size is small, the prediction is not appropriate. 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 all of the requirements for finding the equation of the regression line are met, the prediction is worthwhile. O D. Since there appears to be an outlier, the prediction is not appropriate.
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