
Missye S.
asked 04/15/24Find the regression equation
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
525 metric tons of lemon imports. Is the prediction worthwhile?
Lemon Imports | 227 | 266 | 361 | 466 | 540 | |
Crash Fatality Rate | 16.1 | 15.9 | 15.7 | 15.5 | 15.2 |
1 Expert Answer
Raymond B. answered 04/15/24
Math, microeconomics or criminal justice
y=-.002621x + 16.65
15.273975= -.002621(525)+16.25
y = about 15.3
you could have guessed that from the table as 525 is a little less than 540
so y is a little more than 15.2 which is about 15.3
525 is 59/74 of the way from 466 to 540
so 15.3 is about 59/74 of the way from 15.5 to 15.2
or closer to 15.3 than to 15.4
it's an inverse relationship, as x goes up, y goes down
y=ax+b
is the regression line equation
where b= the average of y values= 16.65
a = (sum of xy - (sumx)sumy)/n)/(sum(x^2)-(sumx)^2/n) = about -.002621
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William W.
The final question "Is the prediction worthwhile?" is interesting. There obviously is a mathematical relationship but is there some kind of tie to lemon import and fatality crashes?? I don't think so. Just because there is some sort of mathematical relationship does NOT mean one causes the other.04/15/24