Which technique is used to reduce the impact of outliers in regression analysis? Winsorization Data transformation Cross-validation Regularization
Question
Solution 1
All of the mentioned techniques can be used to reduce the impact of outliers in regression analysis.
- Winsorization: This technique involves changing the extreme values in the statistical data to reduce the effect of possibly spurious outliers. It is named after the engineer-turned-biostatistici Knowee AI is a powerful AI-powered study tool designed to help you to solve study problem.
Knowee AI is a powerful AI-powered study tool designed to help you to solve study problem.
Knowee AI is a powerful AI-powered study tool designed to help you to solve study problem.
Knowee AI is a powerful AI-powered study tool designed to help you to solve study problem.
Knowee AI is a powerful AI-powered study tool designed to help you to solve study problem.
Knowee AI
Similar Questions
Which technique is used to reduce the impact of outliers in regression analysis? Winsorization Data transformation Cross-validation Regularization
Which technique is used to reduce the impact of outliers in regression analysis? Winsorization Data transformation Cross-validation Regularization
Which of the following is NOT a type of regularization technique used in linear regression to prevent overfitting?
Which of the following is NOT a commonly used forecasting technique for time series data?Review LaterARIMASARIMAProphetLinear Regression
The "Regression" technique in Machine Learning is a group of algorithms that are used for:
Upgrade your grade with Knowee
Get personalized homework help. Review tough concepts in more detail, or go deeper into your topic by exploring other relevant questions.