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leverage

Incorporating Graphs in Regression Diagnostics with Stata

by Jeff Meyer Leave a Comment

by Jeff Meyer

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
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  • Same Statistical Models, Different (and Confusing) Output Terms
  • A Visual Description of Multicollinearity

Linear Models in R: Improving Our Regression Model

by guest Leave a Comment

by David Lillis, Ph.D.

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
  • R Is Not So Hard! A Tutorial, Part 5: Fitting an Exponential Model
  • Incorporating Graphs in Regression Diagnostics with Stata

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This Month’s Statistically Speaking Live Training

  • April Member Training: Statistical Contrasts

Upcoming Workshops

  • Logistic Regression for Binary, Ordinal, and Multinomial Outcomes (May 2021)
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Data Analysis with SPSS
(4th Edition)

by Stephen Sweet and
Karen Grace-Martin

Statistical Resources by Topic

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