Asked by Logan
Are these questions below true or false? I am stuck. I think 1 is true and 3 is false
1. In Regression Analysis if the variance of the error term is constant, we call it the Homoscedasticity property.
2. In simple linear regression analysis, if the error terms exhibit a positive or negative autocorrelation over time, then the assumption of constant variance is violated.
3. The expected value of the error term changes from observation to observation.
1. In Regression Analysis if the variance of the error term is constant, we call it the Homoscedasticity property.
2. In simple linear regression analysis, if the error terms exhibit a positive or negative autocorrelation over time, then the assumption of constant variance is violated.
3. The expected value of the error term changes from observation to observation.
Answers
There are no human answers yet.
There are no AI answers yet. The ability to request AI answers is coming soon!
Submit Your Answer
We prioritize human answers over AI answers.
If you are human, and you can answer this question, please submit your answer.