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RegressIt is a powerful Excel add-in which performs multivariate descriptive
data analysis and regression analysis with high-quality table and chart output
in native Excel format.  You can download it for free.  The linear regression
version of the program runs on both Macs and PC's, and there is also a separate
logistic regression version for the PC with highly interactive table and chart
output.  All of them feature a 32-button ribbon interface (pictured below) which
provides innovative model space and worksheet navigation tools, 10,000 words of
built-in documentation and teaching notes, use of  cell colors and fonts to
highlight significant coefficients and correlations, interactive sorting of
coefficient and residual tables, removal of insignificant variables directly
from the coefficient table, a multi-threaded audit trail, and the ability to
exchange regression code with R.

***RegressIt is an excellent tool for online teaching of regression in
electronic classroom environments such as Zoom and in recorded video
presentations, as well as for self-study and applied work.  Its output
worksheets are designed for efficient viewing and navigation, making it easy for
instructors to walk through sequences of models.  Students can perform the same
analysis in real time on their own laptop or tablet computers.  The tables and
charts are presentation-ready and look good in slides and reports. Its menus are
easy to navigate with only a mouse or a touchscreen.  Teaching notes can be
included in the output in the form of cell comments. Excel files containing
analysis are easily browsed on a cell phone.***

The ribbon interface greatly streamlines the analysis,  minimizing the number of
mouse clicks or finger taps that are needed for careful well-labeled work, and
it makes it largely unnecessary to use any of Excel's own buttons or menus.  
The accompanying RegressIt slide show and user manual and the following pages on
this site describe the use of these features.  The videos page on this site
includes several videos that provide demonstrations of them in action.


The output format and navigation tools are designed to take advantage of all 4
dimensions of the Excel environment—stacks of worksheets, rows and columns of
cells, and layers of information within cells--while avoiding the tedium of
scrolling and paging and searching with Excel's own controls.   These tools
greatly simplify the process of exploring multivariate data, fitting and
refining and comparing regression models, sharing and evaluating work performed
by others, and leaving a comprehensive and easily navigated audit trail.
 * For students, these features make it easy to learn principles of regression
   analysis (and thoughtful data analysis in general) while working efficiently
   in an Excel environment.  The software is good for team exercises and is more
   fun to use than the standard alternatives, and its presentation quality
   tables and charts are ready-made for inclusion in reports.  It is also
   self-instructing, with pop-up documentation and teaching notes displayed in
   message boxes and cell comments.
   
 * For instructors, these features make it easy to teach both statistical
   concepts and hands-on data analysis, to evaluate student modeling efforts
   (the entire analytical process, not just the end results), and to verify the
   originality and authenticity of submitted work. The program is good for
   interactive demonstrations in the classroom as well as for assignments. A
   gradeable list of the contents of all worksheets in hundreds of student files
   can be exported to a single Excel worksheet by using the History tool.  See
   the features for instructors document for more details.  Even if use of
   RegressIt is not required in a course, it can be recommended to students as a
   self-teaching supplementary tool, and many will find their way to this web
   site anyway.  Customization of the built-in teaching notes could be arranged
   to suit a program.  RegressIt is also an excellent platform for online
   teaching: it makes great videos and is very efficient for use in workshops
   and webinars.  If you would be interested in developing or co-developing an
   online course that uses it (e.g., at Coursera), please contact us.
   
 * For practitioners, these features make it easy to explore a complex model
   space, to maintain a comprehensive and easily navigable audit trail, to
   collaborate and share results with colleagues and clients who may have
   different levels of technical expertise, and to brush up on one's knowledge
   while working.
   
 * For R users (or would-be R users) it reads and writes R code for linear and
   logistic regression, so that models whose variables are selected in RegressIt
   can be run in RStudio, with nicely formatted output produced in both RStudio
   and Excel, allowing you to take advantage of the output features of both and
   to get a gentle introduction to R (or perhaps Excel) if you need it.  You can
   use Excel as a front end for running analyses in R and/or use R as a
   computational back end for analysis in Excel.  This tool allows very large
   data sets to be handled and includes more analysis options such as stepwise
   variable selection and out-of-sample validation.  See the R interface pages
   on this site and the accompanying pdf file and video.
   
 * For touchscreen and tablet computer users, the interface makes it easy to
   drive a fully detailed analysis by tapping one's finger at the top or bottom
   or side of the screen.   The output files also look good on smartphones and
   are easily navigated with Excel viewing apps, a great way to share results
   with others.
 * For anyone who otherwise uses Excel for data analysis (or who has expressly
   avoided doing so until now), it is a free, major upgrade from what is
   provided in its own data analysis add-in (Analysis Toolpak), whose dreadful
   regression tool has not changed since it was introduced in 1993.  See
   what's-wrong-with-the-Analysis-Toolpak-for-regression.
   

Whether or not you are using other statistical software, and whether or not you
are otherwise a regular user of Excel, RegressIt can make a good companion for
that part of your work or study which involves multivariate data analysis and
linear or logistic regression modeling. If you try it and enjoy using it, please
pass the word along to your colleagues or classmates.  See the "About RegressIt"
page for details of its development.






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 * R interface
 * Excel to R
 * R to Excel
 * Random sets
 * k-fold cross-validation
 * Separate sets
 * How to install R

 * RegressItPC
 * RegressItMac
 * RegressItLogistic
 * Get started with analysis
 * Data
 * Videos
 * Terms of use

 * Overview
 * Ribbon interface
 * Descriptive data analysis
 * Linear regression
 * Logistic regression >
    * Logistic
    * Titanic example
    * GLOW example

 * Variable transformations
 * Model summary worksheet
 * Forecasting
 * Audit trail navigation
 * Analysis Toolpak problems

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 * Advice
 * Links