Match List I with List II.

List I

Regression variations

List II

Measurement

A.

Total sum of square

I.
\(\rm \sum(\hat y_i-\bar y_i)^2\)

B.

Sum of square due to regression

II.
\(\rm \sum( y_i-\hat y_i)^2\)

C.

Sum of square due to curve

III.
\(\rm \sum( y_i-\bar y_i)^2\)

D.

Standard error of estimate

IV.
\(\sqrt{\rm \sum( y_i-\hat y_i)^2/n-2}\)

Choose the correct answer answer from the options given below:

Question

List I Regression variations		List II Measurement
A.	Total sum of square	I.	\(\rm \sum(\hat y_i-\bar y_i)^2\)
B.	Sum of square due to regression	II.	\(\rm \sum( y_i-\hat y_i)^2\)
C.	Sum of square due to curve	III.	\(\rm \sum( y_i-\bar y_i)^2\)
D.	Standard error of estimate	IV.	\(\sqrt{\rm \sum( y_i-\hat y_i)^2/n-2}\)