New mobile app: Resampling (Bootstrap Confidence Intervals)

The Art & Science of Learning from Data

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The Art & Science of Learning from Data

The Art & Science of Learning from DataThe Art & Science of Learning from DataThe Art & Science of Learning from Data
Home
Web Apps
Mobile Apps
Datasets
R Code
YouTube
Errata
More
  • Home
  • Web Apps
  • Mobile Apps
  • Datasets
  • R Code
  • YouTube
  • Errata

  • Home
  • Web Apps
  • Mobile Apps
  • Datasets
  • R Code
  • YouTube
  • Errata

Screenshots from the Art of Stat: Regression App

    Description of App

     

    Fit Simple Linear Regression Models. Obtain Interactive Scatterplots and Residual Plots and Confidence & Prediction Intervals.


    The Linear Regression app creates scatterplots, fits simple linear regression models and conducts inference for model parameters. You can enter or upload your own data, or choose from several example datasets. The app computes confidence intervals for the mean response and prediction intervals  for a future response. The fitted model and the intervals are visualized on the scatterplot.  You can obtain and plot raw and standardized residuals.  You can color points on the scatterplot according to a third  quantitative or categorical variable to reveal additional patterns.

     Copyright © 2022 Bernhard Klingenberg - All Rights Reserved. 


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