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 450 metric tons of lemon imports. Is the prediction worthwhile? Lemon Imports 228 261 350 489 511 Crash Fatality Rate 16.1 15.8 15.5 15.5 15.1 Find the equation of the regression line. y^=___+(__)x
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 450 metric tons of lemon imports. Is the prediction worthwhile? Lemon Imports 228 261 350 489 511 Crash Fatality Rate 16.1 15.8 15.5 15.5 15.1 Find the equation of the regression line. y^=___+(__)x
Algebra & Trigonometry with Analytic Geometry
13th Edition
ISBN:9781133382119
Author:Swokowski
Publisher:Swokowski
Chapter5: Inverse, Exponential, And Logarithmic Functions
Section: Chapter Questions
Problem 51RE
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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 450 metric tons of lemon imports. Is the prediction worthwhile?
Lemon Imports
|
228
|
261
|
350
|
489
|
511
|
|
---|---|---|---|---|---|---|
Crash Fatality Rate
|
16.1
|
15.8
|
15.5
|
15.5
|
15.1
|
Find the equation of the regression line.
y^=___+(__)x
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