Question

How can we decide whether outlier should be eliminated or not?

Answer 1

: To Drop or Not to Drop. If it is obvious that the outlier is due to incorrectly entered or measured data, you should drop the outlier: If the outlier does not change the results but does affect assumptions, you may drop the outlier. More commonly, the outlier affects both results and assumptions.

Answer 2

Answer:

Hey mate ... Here is your answer

Explanation:

In the elimination method you either add or subtract the equations to get an equation in one variable. When the coefficients of one variable are opposites you add the equations to eliminate a variable and when the coefficients of one variable are equal you subtract the equations to eliminate a variable....

Hope this helps....

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