• 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

Fitted values

By Jim Frost

A fitted value is a statistical model’s prediction of the mean response value when you input the values of the predictors, factor levels, or components into the model. Suppose you have the following regression equation: y = 3X + 5. If you enter a value of 5 for the predictor, the fitted value is 20. Fitted values are also called predicted values.

Related

Synonyms:
Predicted values
Related Articles:
  • How To Interpret R-squared in Regression Analysis
  • Curve Fitting using Linear and Nonlinear Regression
  • How High Does R-squared Need to Be?
  • Understanding Interaction Effects in Statistics
  • Confounding Variables Can Bias Your Results

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