Discussion
Which one of the following is not a part of classical assumptions, in regression analysis ?
Answer: A
The statement that is not a classical assumption is Values taken by dependent variable Y is fixed in repeated sampling.
The classical linear regression model assumes that the explanatory variable X is fixed (non-stochastic) in repeated sampling. The dependent variable Y cannot be fixed: it contains the random error term, so its values vary from sample to sample.
The other three are standard assumptions: the model is linear in the parameters, the error term has zero mean, and the error term has constant variance (homoscedasticity), along with no autocorrelation and no exact multicollinearity.
No comment is present. Be the first to comment.
Loading…
Post your comment
Please log in or register to post a comment.
Examination Categories
- SSC Exams
- Banking Exams
- Teaching Exams
- Civil Services Exams
- Railways Exams
- Engineering Recruitment Exams
- Defence Exams
- State Government Exams
- Police Exams
- Insurance Exams
- Nursing Exams
- Other Government Exams
- NRA CET
- PG Entrance Exams
- Campus Placement
- MBA Entrance Exams
- CUET and UG Entrance
- Judiciary Exams
- Regulatory Body Exams
- Software Development