?
Categories
Account

Which algorithm is commonly used for linear regression?

  • 📥 Instant PDF Download
  • ♾ Lifetime Access
  • 🛡 Secure & Original Content

What’s inside this PDF?

Question: Which algorithm is commonly used for linear regression?

Options:

  1. K-Nearest Neighbors
  2. Support Vector Machines
  3. Ordinary Least Squares
  4. Decision Trees

Correct Answer: Ordinary Least Squares

Solution:

Ordinary Least Squares (OLS) is a method used to estimate the parameters in linear regression by minimizing the sum of the squares of the residuals.

Which algorithm is commonly used for linear regression?

Practice Questions

Q1
Which algorithm is commonly used for linear regression?
  1. K-Nearest Neighbors
  2. Support Vector Machines
  3. Ordinary Least Squares
  4. Decision Trees

Questions & Step-by-Step Solutions

Which algorithm is commonly used for linear regression?
  • Step 1: Understand that linear regression is a way to model the relationship between a dependent variable and one or more independent variables.
  • Step 2: Learn that Ordinary Least Squares (OLS) is a method used in linear regression.
  • Step 3: Know that OLS works by finding the best-fitting line through the data points.
  • Step 4: Realize that OLS minimizes the differences between the actual data points and the predicted values from the line.
  • Step 5: Understand that these differences are called 'residuals' and OLS minimizes the sum of the squares of these residuals.
No concepts available.
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