My Learning Cart
?
Categories
Account

In the context of linear regression, what does 'residual' refer to?

₹0.0
Login to Download
  • 📥 Instant PDF Download
  • ♾ Lifetime Access
  • 🛡 Secure & Original Content

What’s inside this PDF?

Question: In the context of linear regression, what does \'residual\' refer to?

Options:

  1. The predicted value of the dependent variable
  2. The difference between the observed and predicted values
  3. The slope of the regression line
  4. The variance of the independent variable

Correct Answer: The difference between the observed and predicted values

Solution: 

A residual is the difference between the observed value of the dependent variable and the value predicted by the regression model.

In the context of linear regression, what does 'residual' refer to?

Practice Questions

Q1
In the context of linear regression, what does 'residual' refer to?
  1. The predicted value of the dependent variable
  2. The difference between the observed and predicted values
  3. The slope of the regression line
  4. The variance of the independent variable

Questions & Step-by-Step Solutions

In the context of linear regression, what does 'residual' refer to?
  • Residuals in Linear Regression – A residual is the difference between the observed value of the dependent variable and the value predicted by the regression model.
Soulshift Feedback ×

On a scale of 0–10, how likely are you to recommend The Soulshift Academy?

Not likely Very likely
Home Practice Performance eBooks