ExamTopics Logo
Mail Us[email protected]
Menu
Comptia Discussions
exam questions

Exam DY0-001 All Questions

View all questions & answers for the DY0-001 exam
Go to Exam

Exam DY0-001 topic 1 question 3 discussion

Actual exam question from CompTIA's DY0-001
Question #: 3
Topic #: 1
[All DY0-001 Questions]

A data scientist is building an inferential model with a single predictor variable. A scatter plot of the independent variable against the real-number dependent variable shows a strong relationship between them. The predictor variable is normally distributed with very few outliers. Which of the following algorithms is the best fit for this model, given the data scientist wants the model to be easily interpreted?

  • A. A logistic regression
  • B. An exponential regression
  • C. A linear regression
  • D. A probit regression
Show Suggested Answer Hide Answer
Suggested Answer: C 🗳️
by SuntzuLegacy at May 19, 2025, 8:30 a.m.

Comments

Chosen Answer:
This is a voting comment (?). It is better to Upvote an existing comment if you don't have anything to add.
Switch to a voting comment New
Submit Cancel
SuntzuLegacy
1 month, 1 week ago
Selected Answer: C
Given the context—a real-number dependent variable and a single, normally distributed predictor with few outliers—the most straightforward and interpretable model would be linear regression. Therefore, the best choice is: C. A linear regression
upvoted 1 times
...
Community vote distribution
A (35%)
C (25%)
B (20%)
Other
Most Voted
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.

SaveCancel