y = 16.478 +(-0.0026 )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.)

MATLAB: An Introduction with Applications
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Author:Amos Gilat
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Chapter1: Starting With Matlab
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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 400 metric tons of lemon imports. Is
the prediction worthwhile?
Lemon Imports 235 260
Crash Fatality
480
15.4
350
52
16 15.7 15.4
1!
Rate
.....
Find the equation of the regression line.
y = 16.478 +(-0.0026 )x
(Round the y-intercept to three decimal places
as needed. Round the slope to four decimal
places as needed.)
%3D
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.)
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 235 260 Crash Fatality 480 15.4 350 52 16 15.7 15.4 1! Rate ..... Find the equation of the regression line. y = 16.478 +(-0.0026 )x (Round the y-intercept to three decimal places as needed. Round the slope to four decimal places as needed.) %3D 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.)
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