Using the provided R output for a linear regression, what is lambda?
Understand the Problem
The question asks us to identify the value of lambda from the R output of a linear regression model that predicts the log of sucker catch based on the year. Lambda is not directly listed in the output, and based on the information provided is not part of linear regression. It is either a trick question, or the question is asking for something else.
Answer
There is no lambda in the linear regression output provided.
The provided R output is from a simple linear regression, not a Ridge, Lasso, or Elastic Net regression. Therefore, there is no lambda parameter in this output.
Answer for screen readers
The provided R output is from a simple linear regression, not a Ridge, Lasso, or Elastic Net regression. Therefore, there is no lambda parameter in this output.
More Information
Lambda is a regularization parameter used in Ridge, Lasso, and Elastic Net regression to prevent overfitting. It is not part of simple linear regression.
Tips
It's important to know which type of regression output you are looking at before trying to find the lambda value.
Sources
- Linear, Lasso, and Ridge Regression with R - Pluralsight - pluralsight.com
- Regularization in R Tutorial: Ridge, Lasso and Elastic Net - DataCamp - datacamp.com
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