Find the regression equation leting the fist variable be the predictor variable Using the listed lemonicrash data where lemon imports are in metric tons and he latality rates are per 100.000 people. find the best prediced crash fatality rate for a year in which there are 500 metric tons of lemon inports is the predicdion worthuhile? Lemon mports 225 270 365 47 543 Crash Fatality Rate 159 158 155 154 148 Find the eguation of the regression ine Round the yintercept to three decimal places as needed Round the slope to four decimal places as needed)

MATLAB: An Introduction with Applications
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ISBN:9781119256830
Author:Amos Gilat
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Chapter1: Starting With Matlab
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2) 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?

Find the regression equation, letting the first variable be the predictor () variable Using the listed lemon'erash 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 159 158
225 270 365 477 543
15.5 154 148
Find the equation of the regression line
(Round the
yintercept to three decimal places as needed. Round the slope to four decimal places as needed)
Transcribed Image Text:Find the regression equation, letting the first variable be the predictor () variable Using the listed lemon'erash 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 159 158 225 270 365 477 543 15.5 154 148 Find the equation of the regression line (Round the yintercept to three decimal places as needed. Round the slope to four decimal places as needed)
Expert Solution
Step 1

Calculate the following values

x y (xi - mean_x)2 (yi - mean_y)2 (xi - mean_x)(yi - mean_y)
225 15.9 22801 0.1764 -63.42
270 15.8 11236 0.1024 -33.92
365 15.5 121 0.0004 -0.22
477 15.4 10201 0.0064 -8.08
543 14.8 27889 0.4624 -113.56
SUM        
1880 77.4 72248 0.748 -219.2
Mean        
376 15.48      
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