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

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

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Leatha

12 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!

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Lashawn

14 days 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!

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Delsie

17 days 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!

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Margarita

27 days ago

The question is pretty straightforward. The issue here is that the data is collected over a 10-year period, which violates the assumption of independence. The observations are likely correlated over time, so a linear regression model might not be appropriate.

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