MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN: 9781119256830
Author: Amos Gilat
Publisher: John Wiley & Sons Inc
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help with questions 1-3 please.

1. Find the equation of the regression line.
y=_____+​______x
​(Round the constant three decimal places as needed. Round the coefficient to six decimal places as​ needed.)
 
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.)
 
3. Is the prediction​ worthwhile?
A. Since common sense suggests there should not be much of a relationship between the two​ variables, the prediction does not make much sense.
 
B.Since all of the requirements for finding the equation of the regression line are​ met, the prediction is worthwhile.
 
C.Since there appears to be an​ outlier, the prediction is not appropriate.
 
D.Since the sample size is​ small, 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 15.7
231 270
363
494
519
15.3
15.4
15
Find the equation of the regression line.
(Round the constant three decimal places as needed. Round the coefficient to six decimal places as needed.)
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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 15.7 231 270 363 494 519 15.3 15.4 15 Find the equation of the regression line. (Round the constant three decimal places as needed. Round the coefficient to six decimal places as needed.)
Expert Solution
Check Mark
Step 1

Given data is:

x y
231 16.0000
270 15.7
363 15.3
494 15.4
519 15

 

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