In linear regression, the sum of errors in prediction:
A. is always a positive number.
B. must be large for prediction to be accurate.
C. is always equal to zero.
D. is smaller for larger samples.
Answer:
C. is always equal to zero.
Explanation:
We know that we use the least square technique in the linear regression and sum of errors or residuals in the regression is always equal to zero.
In linear regression, the sum of errors in prediction: A. is always a positive number. B....