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? Use a significance level of 0.05. Lemon Imports 230 261 357 Crash Fatality Rate 16 15.7 15.4 489 15.3 532 15 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? ○ A. Since the sample size is small, the prediction is not appropriate. B. Since there appears to be an outlier, the prediction is not appropriate. O C. Since all of the requirements for finding the equation of the regression line are met, the prediction is worthwhile. OD. Since common sense suggests there should not be much of a relationship between the two variables, the prediction does not make much sense.
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? Use a significance level of 0.05. Lemon Imports 230 261 357 Crash Fatality Rate 16 15.7 15.4 489 15.3 532 15 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? ○ A. Since the sample size is small, the prediction is not appropriate. B. Since there appears to be an outlier, the prediction is not appropriate. O C. Since all of the requirements for finding the equation of the regression line are met, the prediction is worthwhile. OD. Since common sense suggests there should not be much of a relationship between the two variables, the prediction does not make much sense.
Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter4: Equations Of Linear Functions
Section4.6: Regression And Median-fit Lines
Problem 17HP
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