Heteroscedastic residuals will have roughly the same variance for any value of X. Hence:
The correct option is C.
Hetero means that they are different/vary. Homoscedastic would mean that they do not change as the value of x changes.
When the variance of the residuals is uneven throughout a range of measured values, this is referred to as heteroskedasticity. The analysis results may be flawed if heteroskedasticity is present and the population employed in the regression has unequal variance.
One presumption regarding the residuals/errors in OLS regression is that they have the same, but unmeasured, variance. The term "constant variance" or "homoscedasticity" refers to this. Heteroscedasticity is the issue when this presumption is broken.
Hence we get the required answer.
Learn more about Homoscedastic here:
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Answer:
9 2/5 I think
Step-by-step explanation:
Im pretty good at Math depending on what type of math it is?
Answer:
negative fourteen I THINK I DONT KNOW FOR SURE
Step-by-step explanation:
mm
Answer:
Step-by-step explanation:
the answer would be 2985000x
