A Machine Learning Specialist is attempting to build a linear regression model. Given the displayed residual plot only, what is the MOST likely problem with the model?
A.
Linear regression is inappropriate. The residuals do not have constant variance.
B.
Linear regression is inappropriate. The underlying data has outliers.
C.
Linear regression is appropriate. The residuals have a zero mean.
D.
Linear regression is appropriate. The residuals have constant variance.
Answer A.
One of the key assumptions of linear regression is that the residuals have constant variance at every level of the predictor variable(s). If this assumption is not met, the residuals are said to suffer from heteroscedasticity. When this occurs, the estimates for the model coefficients become unreliable
https://www.statology.org/constant-variance-assumption/
D is best answer
all x values are scattering as a whole , no matter what x is
https://www.statisticshowto.com/residual-plot/
if you take all x values to plot histogram , it will be bel-curv.
A voting comment increases the vote count for the chosen answer by one.
Upvoting a comment with a selected answer will also increase the vote count towards that answer by one.
So if you see a comment that you already agree with, you can upvote it instead of posting a new comment.
takahirokoyama
Highly Voted 2 years, 10 months agoTrekkingMachine
2 years, 10 months agocnethers
Highly Voted 2 years, 10 months agoSadgamaya
2 years, 4 months agogeoan13
Most Recent 9 months, 1 week agoMickey321
11 months, 3 weeks agoNadia0012
1 year, 5 months agoTomatoteacher
1 year, 7 months agojrff
1 year, 9 months agoShailendraa
1 year, 11 months agoovokpus
2 years, 1 month agoJohn_Pongthorn
2 years, 6 months agoAddiWei
2 years, 6 months agoeeah
2 years, 4 months agoAddiWei
2 years, 6 months agou404
2 years, 6 months agoHuy
2 years, 9 months agoyummytaco
2 years, 9 months agoVita_Rasta84444
2 years, 10 months ago