When we divide the error remaining after we use the relationship to predict Y scores ( )by the total error when we use the mean to predict the Y scores ( )and then subtract the result from 1,the final result is the
A)proportion of variance not accounted for.
B)proportion of variance accounted for.
C)standard error of the estimate.
D)coefficient of alienation.

Question

When we divide the error remaining after we use the relationship to predict Y scores (  )by the total error when we use the mean to predict the Y scores (  )and then subtract the result from 1,the final result is the
A)proportion of variance not accounted for. 
B)proportion of variance accounted for. 
C)standard error of the estimate. 
D)coefficient of alienation.

Quizplus · Accepted Answer

Dividing the error remaining after using the relationship to predict Y scores by the total error when using the mean to predict Y scores gives us the proportion of variance not accounted for. Subtracting the result from 1 gives us the proportion of variance accounted for. Therefore, the final result is the proportion of variance accounted for.

When We Divide the Error Remaining After We Use the Relationship