i. The purpose of correlation analysis is to find how strong the relationship is between two variables.
ii. A coefficient of correlation of -0.96 indicates a very weak negative 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 purpose of correlation analysis is to find how strong the relationship is between two variables. 
ii. A coefficient of correlation of -0.96 indicates a very weak negative 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

Statement (i) is correct as correlation analysis determines the strength of the relationship between two variables. Statement (ii) is incorrect because a coefficient of -0.96 indicates a very strong negative correlation, not a weak one. Statement (iii) is correct as the standard error of estimate measures the accuracy of predictions.

I the Purpose of Correlation Analysis Is to Find How