RegressIt features for students
If you are student who is currently taking a stats course that covers linear or logistic regression, or if you are using those models for data analysis in other courses, or if you are trying to teach yourself statistics, RegressIt can be a very good complement if not substitute for whatever other software you are using. It provides an analysis platform that takes full advantage of Excel's multidimensional modeling environment, and it has many unique features to help you learn about regression and, more generally, how to analyze data correctly and have fun while you are doing it. The RegressIt slide show provides a pictorial overview. You can obtain the software from the free download page and get started with analysis in just a few minutes.
If you've been using Excel's own primitive and outdated linear regression tool in its data analysis add-in (the Analysis Toolpak from 1993) stop right now. RegressIt is much easier to use: you don't have to select X and Y cell ranges by hand nor rearrange columns of data in order to add or remove variables for a new model. It's also vastly more powerful: it can fit industrial-size models, not just toy models with 16 variables or less. It produces much more comprehensive and easy to read output by default. You don't have to drag charts all around the screen or do any editing to make them look good. You don’t have to type any additional formulas to forecast from your models. Let your instructor know these things!
RegressIt's innovative ribbon interface, pictured above, makes it easy to carry out systematic analysis and navigate the contents of your files even when they contain many models. It is designed to be driven either with a mouse or a touchscreen. Tables and charts are presentation quality and descriptively titled with unique model names and key model statistics, so that they can easily be matched up with their source worksheets when copied to Word or Powerpoint files, saving you a lot of effort when preparing reports to document your analysis.
RegressIt also includes around 10,000 words of built-in documentation and teaching resources: hover the mouse over a button on the ribbon to get a pop-up description of its function, click the symbols next to options in the regression dialog box to get pop-up descriptions of how to use them, and check the teaching notes box when running a regression model to get very detailed teaching notes embedded in the output worksheet in the form of cell comments. Sample data sets and worked examples can be found on this web site, and more will be added in the coming months.
If you are studying logistic regression (a specialized form of regression for predicting 0-1 outcomes), you will really like the interactive table and chart output that you get with the logistic version of RegressIt (for PC's only). Logistic models are more complicated than linear models, and RegressItLogistic provides some novel tools for visualizing how they work, such as interactive adjustment of cutoff levels.
If you are currently using other software in your courses (another third-party Excel add-in, SPSS, Stata, or even R), RegressIt can make a good companion to it for that part of your work which involves regression. A dataset that has been prepared for use with another program can easily be transferred to Excel. If you have not used R before but are curious about it, you can use RegressIt's R interface to run linear and logistic regression models in R without needing to write any code. You can get up and running with this tool in about 15 minutes.
If you are a current R user, you'll find that RegressIt effectively provides a new package that produces more detailed and better formatted regression output in RStudio than you get with R's built-in tools, and the menu interface makes it unnecessary to edit long text strings in equations of models with many variables: you can just point and click to add or remove variables. You will also get nicely formatted output in Excel that is good for organizing and presenting and sharing your work, including a model summaries worksheet as well as individual model worksheets. And you can also instantly re-run the same models with RegressIt's own regression procedure to get its full set of outputs.
With RegressIt it is possible to do more quality work in less time than with other commonly used software, you will learn more about good modeling practices while using it, and the output that you get will look great in reports that you write or presentations you give. It is also very good for working with other students on team projects, because its files are easy to browse and others can easily perform more analysis in them. The files also look good and are easily navigated on your cell phone.
If you are student who is currently taking a stats course that covers linear or logistic regression, or if you are using those models for data analysis in other courses, or if you are trying to teach yourself statistics, RegressIt can be a very good complement if not substitute for whatever other software you are using. It provides an analysis platform that takes full advantage of Excel's multidimensional modeling environment, and it has many unique features to help you learn about regression and, more generally, how to analyze data correctly and have fun while you are doing it. The RegressIt slide show provides a pictorial overview. You can obtain the software from the free download page and get started with analysis in just a few minutes.
If you've been using Excel's own primitive and outdated linear regression tool in its data analysis add-in (the Analysis Toolpak from 1993) stop right now. RegressIt is much easier to use: you don't have to select X and Y cell ranges by hand nor rearrange columns of data in order to add or remove variables for a new model. It's also vastly more powerful: it can fit industrial-size models, not just toy models with 16 variables or less. It produces much more comprehensive and easy to read output by default. You don't have to drag charts all around the screen or do any editing to make them look good. You don’t have to type any additional formulas to forecast from your models. Let your instructor know these things!
RegressIt's innovative ribbon interface, pictured above, makes it easy to carry out systematic analysis and navigate the contents of your files even when they contain many models. It is designed to be driven either with a mouse or a touchscreen. Tables and charts are presentation quality and descriptively titled with unique model names and key model statistics, so that they can easily be matched up with their source worksheets when copied to Word or Powerpoint files, saving you a lot of effort when preparing reports to document your analysis.
RegressIt also includes around 10,000 words of built-in documentation and teaching resources: hover the mouse over a button on the ribbon to get a pop-up description of its function, click the symbols next to options in the regression dialog box to get pop-up descriptions of how to use them, and check the teaching notes box when running a regression model to get very detailed teaching notes embedded in the output worksheet in the form of cell comments. Sample data sets and worked examples can be found on this web site, and more will be added in the coming months.
If you are studying logistic regression (a specialized form of regression for predicting 0-1 outcomes), you will really like the interactive table and chart output that you get with the logistic version of RegressIt (for PC's only). Logistic models are more complicated than linear models, and RegressItLogistic provides some novel tools for visualizing how they work, such as interactive adjustment of cutoff levels.
If you are currently using other software in your courses (another third-party Excel add-in, SPSS, Stata, or even R), RegressIt can make a good companion to it for that part of your work which involves regression. A dataset that has been prepared for use with another program can easily be transferred to Excel. If you have not used R before but are curious about it, you can use RegressIt's R interface to run linear and logistic regression models in R without needing to write any code. You can get up and running with this tool in about 15 minutes.
If you are a current R user, you'll find that RegressIt effectively provides a new package that produces more detailed and better formatted regression output in RStudio than you get with R's built-in tools, and the menu interface makes it unnecessary to edit long text strings in equations of models with many variables: you can just point and click to add or remove variables. You will also get nicely formatted output in Excel that is good for organizing and presenting and sharing your work, including a model summaries worksheet as well as individual model worksheets. And you can also instantly re-run the same models with RegressIt's own regression procedure to get its full set of outputs.
With RegressIt it is possible to do more quality work in less time than with other commonly used software, you will learn more about good modeling practices while using it, and the output that you get will look great in reports that you write or presentations you give. It is also very good for working with other students on team projects, because its files are easy to browse and others can easily perform more analysis in them. The files also look good and are easily navigated on your cell phone.