Asked by Ebani Thomas on May 01, 2024
Verified
What is meant by an underspecified model?
A) a model that has more independent variables than dependent variables
B) a model that does not have relevant predictors
C) a model that has only one dependent variable
D) a model that has a low R2 value
Underspecified Model
An underspecified model is when a statistical model lacks enough parameters to accurately capture the underlying data structure or dynamics of the dataset.
Independent Variables
Variables in an experiment or model that are manipulated to observe their effect on dependent variables.
Relevant Predictors
Variables that have a significant impact on the outcome of a statistical model or prediction.
- Perceive the methods and guidelines for model simplification and selection in the sphere of multiple regression.
Verified Answer
ZK
Zybrea KnightMay 06, 2024
Final Answer :
B
Explanation :
An underspecified model is one that does not have relevant predictors, meaning that there are missing variables that should be included in the model to more accurately explain the dependent variable. This can lead to biased or incorrect results.
Learning Objectives
- Perceive the methods and guidelines for model simplification and selection in the sphere of multiple regression.