i. The coefficient of determination is the proportion of the total variation in the dependent variable Y that is explained or accounted for by its relationship with the independent variable X.
Ii) The coefficient of determination is found by taking the square root of the coefficient of correlation.
iii. The standard error of estimate measures the accuracy of our prediction.
A) (i), (ii) and (iii) are all correct statements
B) (i) and (ii) are correct statements, but not (iii).
C) (i) and (iii) are correct statements but not (ii).
D) (ii) and (iii) are correct statements but not (i).
E) All statements are false

Question

i. The coefficient of determination is the proportion of the total variation in the dependent variable Y that is explained or accounted for by its relationship with the independent variable X.
Ii) The coefficient of determination is found by taking the square root of the coefficient of correlation. 
iii. The standard error of estimate measures the accuracy of our prediction.
A) (i), (ii) and (iii) are all correct statements
B) (i) and (ii) are correct statements, but not (iii).
C) (i) and (iii) are correct statements but not (ii).
D) (ii) and (iii) are correct statements but not (i).
E) All statements are false

Quizplus · Accepted Answer

The coefficient of determination (i) is correctly defined as the proportion of the total variation in Y explained by X. The standard error of estimate (iii) measures prediction accuracy. However, (ii) is incorrect because the coefficient of determination is the square of the coefficient of correlation, not its square root.

I the Coefficient of Determination Is the Proportion of the Total