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Computing the Standard Error of the Estimate ( )By

Question 4

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Computing the standard error of the estimate ( Computing the standard error of the estimate ( ) by subtracting each from the corresponding Y,squaring the difference,summing the results,dividing by N,and then taking the square root (the defining formula) is difficult and time-consuming.Fortunately,the same value can be computed by multiplying the standard deviation of Y (i.e. , ) by A) 100 B) C) D) 0.5 ) by subtracting each Computing the standard error of the estimate ( ) by subtracting each from the corresponding Y,squaring the difference,summing the results,dividing by N,and then taking the square root (the defining formula) is difficult and time-consuming.Fortunately,the same value can be computed by multiplying the standard deviation of Y (i.e. , ) by A) 100 B) C) D) 0.5 from the corresponding Y,squaring the difference,summing the results,dividing by N,and then taking the square root (the defining formula) is difficult and time-consuming.Fortunately,the same value can be computed by multiplying the standard deviation of Y (i.e. , Computing the standard error of the estimate ( ) by subtracting each from the corresponding Y,squaring the difference,summing the results,dividing by N,and then taking the square root (the defining formula) is difficult and time-consuming.Fortunately,the same value can be computed by multiplying the standard deviation of Y (i.e. , ) by A) 100 B) C) D) 0.5 ) by


A) 100
B) Computing the standard error of the estimate ( ) by subtracting each from the corresponding Y,squaring the difference,summing the results,dividing by N,and then taking the square root (the defining formula) is difficult and time-consuming.Fortunately,the same value can be computed by multiplying the standard deviation of Y (i.e. , ) by A) 100 B) C) D) 0.5
C) Computing the standard error of the estimate ( ) by subtracting each from the corresponding Y,squaring the difference,summing the results,dividing by N,and then taking the square root (the defining formula) is difficult and time-consuming.Fortunately,the same value can be computed by multiplying the standard deviation of Y (i.e. , ) by A) 100 B) C) D) 0.5
D) 0.5

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