Find the regression equation, letting the first vVarnable be the predictor (x) variable Using the lisled lermon/cresh data, where lemon imports are in metre: kons and the fatality rales ure per 100,000 people, find the best predicted crash futality rato for a year in whch there are 400 metric tons of lemon mports. Is tho prediction worthwhile? Lemon Imports 229 264 Crash Fatality Rate 15 9 15.7 357 474 549 O 15.3 153 14.9 Find tho oquation of the regression line. ox (Round the cOnstant three decimal places as needed Round the cuelficient to six decimal places as needed ) The best predicted crash fatality rato for a year in which there are 400 metric tons of lermon mports IS lalalilies per 100,000 population (Rournd lo one decimal place as needed.) I5 prediction worthwhile? O A Sincc all of the requirements for linding the equation of the regression ine are met, the prediction is worlhiwhile. B. Since common sense suggests there should not be much of a relationship betweon the two variables the prediction does not mako much sense C. Since there appears to be an outlier, the predictiori is not appropriate D. Since the sample size I5 Small, the prediction is rot appropriate.
Permutations and Combinations
If there are 5 dishes, they can be relished in any order at a time. In permutation, it should be in a particular order. In combination, the order does not matter. Take 3 letters a, b, and c. The possible ways of pairing any two letters are ab, bc, ac, ba, cb and ca. It is in a particular order. So, this can be called the permutation of a, b, and c. But if the order does not matter then ab is the same as ba. Similarly, bc is the same as cb and ac is the same as ca. Here the list has ab, bc, and ac alone. This can be called the combination of a, b, and c.
Counting Theory
The fundamental counting principle is a rule that is used to count the total number of possible outcomes in a given situation.
Please answer all questions a-e
![Find the regression equation, letting the first vVarnable be the predictor (x) variable Using the lisled lermon/cresh data, where lemon imports are in metre: kons and the
fatality rales ure per 100,000 people, find the best predicted crash futality rato for a year in whch there are 400 metric tons of lemon mports. Is tho prediction
worthwhile?
Lemon Imports
229 264
Crash Fatality Rate 15 9 15.7
357
474
549 O
15.3
153
14.9
Find tho oquation of the regression line.
ox
(Round the cOnstant three decimal places as needed Round the cuelficient to six decimal places as needed )
The best predicted crash fatality rato for a year in which there are 400 metric tons of lermon mports IS
lalalilies per 100,000
population
(Rournd lo one decimal place as needed.)
I5
prediction worthwhile?
O A Sincc all of the requirements for linding the equation of the regression ine are met, the prediction is worlhiwhile.
B.
Since common sense suggests there should not be much of a relationship betweon the two variables the prediction does not mako much sense
C. Since there appears to be an outlier, the predictiori is not appropriate
D. Since the sample size I5 Small, the prediction is rot appropriate.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F32ed1f1b-bea1-4f34-aeca-fd174f4d9dfc%2Fd432e182-347b-4946-a142-879a493edaf0%2Fdus9rtb.jpeg&w=3840&q=75)
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