My Learning Cart
?
Categories
Account

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

Options:

  1. Constant variance of errors
  2. Non-constant variance of errors
  3. Independence of errors
  4. Normal distribution of errors

Correct Answer: Non-constant variance of errors

Solution: 

Heteroscedasticity refers to the condition where the variance of the errors is not constant across all levels of the independent variable.

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

Practice Questions

Q1
In the context of linear regression, what does 'heteroscedasticity' refer to?
  1. Constant variance of errors
  2. Non-constant variance of errors
  3. Independence of errors
  4. Normal distribution of errors

Questions & Step-by-Step Solutions

In the context of linear regression, what does 'heteroscedasticity' refer to?
  • Heteroscedasticity – Heteroscedasticity refers to the condition where the variance of the errors is not constant across all levels of the independent variable.
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