in Data Science by

Which of the one is true about Heteroskedasticity?

A. Linear Regression with varying error terms

B. Linear Regression with constant error terms

C. Linear Regression with zero error terms

D. None of these

1 Answer

0 votes
by

Solution: A

The presence of non-constant variance in the error terms results in heteroskedasticity. Generally, non-constant variance arises because of presence of outliers or extreme leverage values.

You can refer this article for more detail about regression analysis.

 

Related questions

0 votes
asked Aug 21 in JAVA by sharadyadav1986
0 votes
asked Sep 10, 2021 in Cloud Computing by SakshiSharma
0 votes
asked Sep 23 in Cassandra by john ganales
...