Question 25 (1 point) Listen What happens when you overfit a regression model? The model captures too much of the random variation in the sample data and fails to predict accurately for the population. The p-value for the F-test of overall significance is greater than 0.05. So many variables are added to the model that the Adjusted R² value exceeds 1 None of the relationships in the model are found to be statistically significant.

Computer Networking: A Top-Down Approach (7th Edition)
7th Edition
ISBN:9780133594140
Author:James Kurose, Keith Ross
Publisher:James Kurose, Keith Ross
Chapter1: Computer Networks And The Internet
Section: Chapter Questions
Problem R1RQ: What is the difference between a host and an end system? List several different types of end...
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Question 25 (1 point)
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What happens when you overfit a regression model?
The model captures too much of the random variation in the sample data and
fails to predict accurately for the population.
The p-value for the F-test of overall significance is greater than 0.05.
So many variables are added to the model that the Adjusted R² value exceeds 1
None of the relationships in the model are found to be statistically significant.
Transcribed Image Text:Question 25 (1 point) Listen What happens when you overfit a regression model? The model captures too much of the random variation in the sample data and fails to predict accurately for the population. The p-value for the F-test of overall significance is greater than 0.05. So many variables are added to the model that the Adjusted R² value exceeds 1 None of the relationships in the model are found to be statistically significant.
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