Harness the power of regression analysis with Displayr. Our intuitive tools make it easy to uncover key data relationships, empowering confident, data-driven decisions and insightful trend analysis.
Drag and drop data to run a regression (no need to write code). The outputs automatically show the key results in an easy-to-digest format, so you don’t need to spend time working out which output to read and why.
Displayr’s expert systems guide you through choosing the appropriate type of regression – linear, logistic, ordered logit, NBD, etc. – and automatically solving many of the uglies of regression analysis, such as outliers, multicollinearity, heteroscedasticity, and categorical outcome variables.
If you have ever read their manuals, you will know that most regression software is not designed for survey data, and will calculate statistical significance incorrect if you use weights. Displayr uses Taylor Series Linearization to appropriately perform the regression with weighted data.
One of the great innovations in regression in the past few years has been the use of multiple imputation for missing data. Displayr automates this entirely. And, you can still use the older methods if you prefer them as well.
Analysis will automatically update when you revise the data, whether filtering, data cleaning, or adding in a new wave of data.
Founder, MAC Research
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Extract key entities like names, places, and organizations to enrich your analysis.
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Displayr allows users to create regression models with just a few clicks. Various models are available via Anything > Advanced Analysis > Regression. You can also check out this guide on how to run linear regression in Displayr.
To perform regression analysis in Excel:
Several software tools support regression analysis, including: