CertNexus Exam AIP-210 Topic 3 Question 20 Discussion

Actual exam question for CertNexus's AIP-210 exam

Question #: 20
Topic #: 3

For each of the last 10 years, your team has been collecting data from a group of subjects, including their age and numerous biomarkers collected from blood samples. You are tasked with creating a prediction model of age using the biomarkers as input. You start by performing a linear regression using all of the data over the 10-year period, with age as the dependent variable and the biomarkers as predictors.

Which assumption of linear regression is being violated?

AEquality of variance (Homoscedastidty)

BIndependence

CLinearity

DNormality

Show Suggested Answer

Suggested Answer: B

Performance testing is a type of testing that should be performed at the production level before deploying a newly retrained model. Performance testing measures how well the model meets the non-functional requirements, such as speed, scalability, reliability, availability, and resource consumption. Performance testing can help identify any bottlenecks or issues that may affect the user experience or satisfaction with the model. Reference: [Performance Testing Tutorial: What is, Types, Metrics & Example], [Performance Testing for Machine Learning Systems | by David Talby | Towards Data Science]

by Isabella at Jun 01, 2024, 05:05 PM

Limited Time Offer

25%

Off

Get Premium AIP-210 Questions as Interactive Web-Based Practice Test or PDF

Contribute your Thoughts:

Submit Cancel

Leatha

28 days ago

I'm pretty sure the answer is B) Independence. The repeated measurements on the same subjects over the years means the observations are not independent, which is a key assumption of linear regression. Gotta love those tricky biomedical data problems!

upvoted 0 times

...

Lashawn

1 months ago

Haha, looks like someone's been sleeping through their stats classes. 10 years of data on the same subjects? That's a clear violation of the independence assumption. Time to brush up on your time series analysis!

upvoted 0 times

...

Delsie

1 months ago

Ah, I see. The repeated measurements on the same subjects over the years means the observations are not independent. This could lead to biased estimates and invalid inferences. Time to consider a longitudinal analysis approach!

upvoted 0 times

...

3 months ago

I think the assumption of normality is being violated.

upvoted 0 times

...