• Skip to primary navigation
  • Skip to main content
  • Skip to primary sidebar
The Analysis Factor

The Analysis Factor

Statistical Consulting, Resources, and Statistics Workshops for Researchers

  • our programs
    • Membership
    • Online Workshops
    • Free Webinars
    • Consulting Services
  • statistical resources
  • blog
  • about
    • Our Team
    • Our Core Values
    • Our Privacy Policy
    • Employment
    • Collaborate with Us
  • contact
  • login

leverage

Incorporating Graphs in Regression Diagnostics with Stata

by Jeff Meyer  Leave a Comment

by Jeff MeyerStage 2

You put a lot of work into preparing and cleaning your data. Running the model is the moment of excitement.

You look at your tables and interpret the results. But first you remember that one or more variables had a few outliers. Did these outliers impact your results? [Read more…] about Incorporating Graphs in Regression Diagnostics with Stata

Tagged With: coefficients, cook's distance, influence, leverage, linear model, observations, outcome variable, outliers, post-estimation, Regression, residuals, studentized

Related Posts

  • Linear Regression in Stata: Missing Data and the Stories it Might Tell
  • Linear Models in R: Improving Our Regression Model
  • Same Statistical Models, Different (and Confusing) Output Terms
  • What is Multicollinearity? A Visual Description

Linear Models in R: Improving Our Regression Model

by guest contributer  Leave a Comment

by David Lillis, Ph.D.Stage 2

Last time we created two variables and used the lm() command to perform a least squares regression on them, and diagnosing our regression using the plot() command.

Just as we did last time, we perform the regression using lm(). This time we store it as an object M. [Read more…] about Linear Models in R: Improving Our Regression Model

Tagged With: fitting, leverage, lines, lm, plotting, Q-Q plot, R, Regression, residuals

Related Posts

  • Linear Models in R: Diagnosing Our Regression Model
  • Linear Models in R: Plotting Regression Lines
  • Incorporating Graphs in Regression Diagnostics with Stata
  • R is Not So Hard! A Tutorial, Part 22: Creating and Customizing Scatter Plots

Primary Sidebar

This Month’s Statistically Speaking Live Training

  • Member Training: Moderated Mediation, Not Mediated Moderation

Upcoming Workshops

    No Events

Upcoming Free Webinars

TBA

Quick links

Our Programs Statistical Resources Blog/News About Contact Log in

Contact

Upcoming

Free Webinars Membership Trainings Workshops

Privacy Policy

Search

Copyright © 2008–2023 The Analysis Factor, LLC.
All rights reserved.

The Analysis Factor uses cookies to ensure that we give you the best experience of our website. If you continue we assume that you consent to receive cookies on all websites from The Analysis Factor.
Continue Privacy Policy
Privacy & Cookies Policy

Privacy Overview

This website uses cookies to improve your experience while you navigate through the website. Out of these, the cookies that are categorized as necessary are stored on your browser as they are essential for the working of basic functionalities of the website. We also use third-party cookies that help us analyze and understand how you use this website. These cookies will be stored in your browser only with your consent. You also have the option to opt-out of these cookies. But opting out of some of these cookies may affect your browsing experience.
Necessary
Always Enabled
Necessary cookies are absolutely essential for the website to function properly. This category only includes cookies that ensures basic functionalities and security features of the website. These cookies do not store any personal information.
Non-necessary
Any cookies that may not be particularly necessary for the website to function and is used specifically to collect user personal data via analytics, ads, other embedded contents are termed as non-necessary cookies. It is mandatory to procure user consent prior to running these cookies on your website.
SAVE & ACCEPT