The variance of the error term in a regression is Select one: a. SSE divided by the sample size b. Square root of Mean c. the average of the squared residuals d. the expected value of the squared error term e. none of these
Added by Sara E.
Step 1
SSE (Sum of Squared Errors) divided by the sample size is the Mean Squared Error (MSE), which is an estimate of the variance of the error term. So, this option is close but not the exact definition. b. Square root of Mean is not related to the variance of the Show more…
Show all steps
Close
Your feedback will help us improve your experience
Madhur L and 77 other Intro Stats / AP Statistics educators are ready to help you.
Ask a new question
Labs
Want to see this concept in action?
Explore this concept interactively to see how it behaves as you change inputs.
Key Concepts
Recommended Videos
Variance is: A. The mean of the squared deviations. B. The sum of squared deviations. C. The square root of the mean squared deviation. D. The sum of deviations.
Madhur L.
The standard deviation of a point estimator is the ______. a. point estimate b. sample statistic c. sampling error d. standard error
Anna D.
Which of the following is assumed for establishing the unbiasedness of Ordinary Least Square (OLS) estimates? A) The sample value outcomes on the explanatory variable are all the same value. B) The error term has the same variance given any value of the explanatory variable. C) The error term has an expected value of 0 given any value of the explanatory variable. D) The regression equation is linear in the explained and explanatory variables.
Sri K.
Recommended Textbooks
Elementary Statistics a Step by Step Approach
The Practice of Statistics for AP
Introductory Statistics
Transcript
18,000,000+
Students on Numerade
Trusted by students at 8,000+ universities
Watch the video solution with this free unlock.
EMAIL
PASSWORD