i. The coefficient of correlation is a measure of the strength of relationship between two variables.
ii. The coefficient of determination can only be positive.
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 correlation is a measure of the strength of relationship between two variables. 
ii. The coefficient of determination can only be positive.
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 correlation measures the strength and direction of a linear relationship between two variables. The coefficient of determination, which is the square of the correlation coefficient, is always positive as it represents the proportion of variance explained. The standard error of estimate measures the accuracy of predictions made with a regression line.

I the Coefficient of Correlation Is a Measure of the Strength