• Skip to secondary menu
  • Skip to main content
  • Skip to primary sidebar
  • My Store
  • Glossary
  • Home
  • About Me
  • Contact Me

Statistics By Jim

Making statistics intuitive

  • Graphs
  • Basics
  • Hypothesis Testing
  • Regression
  • ANOVA
  • Probability
  • Time Series
  • Fun

Ordinary least squares [OLS]

By Jim Frost

Ordinary least squares, or linear least squares, estimates the parameters in a regression model by minimizing the sum of the squared residuals. This method draws a line through the data points that minimizes the sum of the squared differences between the observed values and the corresponding fitted values.

Related

Synonyms:
Linear least squares
Related Articles:
  • Heteroscedasticity in Regression Analysis
  • Choosing the Correct Type of Regression Analysis
  • Confounding Variables Can Bias Your Results
  • 7 Classical Assumptions of Ordinary Least Squares (OLS) Linear Regression
  • Multicollinearity in Regression Analysis: Problems, Detection, and Solutions

Primary Sidebar

Meet Jim

I’ll help you intuitively understand statistics by focusing on concepts and using plain English so you can concentrate on understanding your results.

Read More...

Buy My Introduction to Statistics Book!

Cover of my Introduction to Statistics: An Intuitive Guide ebook.

Buy My Hypothesis Testing Book!

Cover image of my Hypothesis Testing: An Intuitive Guide ebook.

Buy My Regression Book!

Cover for my ebook, Regression Analysis: An Intuitive Guide for Using and Interpreting Linear Models.

Subscribe by Email

Enter your email address to receive notifications of new posts by email.

    I won't send you spam. Unsubscribe at any time.

    Top Posts

    • How To Interpret R-squared in Regression Analysis
    • How to Interpret P-values and Coefficients in Regression Analysis
    • Placebo Effect Overview: Definition & Examples
    • Mean, Median, and Mode: Measures of Central Tendency
    • Z-table
    • Cronbach’s Alpha: Definition, Calculations & Example
    • Weighted Average: Formula & Calculation Examples
    • F-table
    • Bernoulli Distribution: Uses, Formula & Example
    • Multicollinearity in Regression Analysis: Problems, Detection, and Solutions

    Recent Posts

    • Bernoulli Distribution: Uses, Formula & Example
    • Placebo Effect Overview: Definition & Examples
    • Randomized Controlled Trial (RCT) Overview
    • Prospective Study: Definition, Benefits & Examples
    • T Test Overview: How to Use & Examples
    • Wilcoxon Signed Rank Test Explained

    Recent Comments

    • Jim Frost on Cronbach’s Alpha: Definition, Calculations & Example
    • John on Cronbach’s Alpha: Definition, Calculations & Example
    • Jim Frost on Multicollinearity in Regression Analysis: Problems, Detection, and Solutions
    • Thu Nguyen on Multicollinearity in Regression Analysis: Problems, Detection, and Solutions
    • Quang Dat on 7 Classical Assumptions of Ordinary Least Squares (OLS) Linear Regression

    Copyright © 2023 · Jim Frost · Privacy Policy