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Regression Analysis: Matching the Method to the Data
What is Regression Analysis? Regression analysis is one of the cornerstones of statistical methods used in data analysis and predictive modeling. It is a powerful statistical technique designed to examine the relationship between variables, making it an essential tool in fields such as economics, biology, social sciences, and more. The core objective of regression analysis is to determine how changes...
How to Create and Validate Multiple and Simple Linear Regressions in XLSTAT
If you’re like most researchers and data analysts, you probably find yourself in situations where you need to predict future trends, identify key influencers on an outcome, or simply comprehend the connection between variables. In these cases, linear regression is a fundamental tool for anyone trying to understand relationships within their data and make predictions based on those insights. However,...
XLSTAT version 2021.2
XLSTAT 2021.2 is now available! What’s new? DBSCAN (available in all XLSTAT solutions except Basic) Density-Based Spatial Clustering of Applications with Noise is an unsupervised machine learning algorithm for classification problems, such as customer segmentation. We may apply it to sales data in order to detect similarities between customers and thus recommend the right products to specific customers....
Sensory analysis - New XLSTAT E-learning course
Do you want to become an expert in sensory analysis, refresh your knowledge, learn at your own pace without constraint? Discover our brand new sensory analysis training course. Starting in Fall 22', we offer you a complete training course designed specifically for you by our experts. After just 6 modules of 3 hours each, you will be able to conduct your own sensory analysis and interpret the results...
New XLSTAT version for Sensory features
A new update of XLSTAT is available, offering new possibilities to those working in the field of sensory analysis. We are pleased to have presented this innovation at Eurosense, on September 14, in collaboration with our customer, Givaudan. Discover what’s new Power for Sensory discrimination tests We have added a new feature that allows you to calculate the power or number of respondents needed to...
COVID-19 free data analysis tool
Addinsoft is releasing a tool to analyse the COVID data published on a daily basis by the ECDC. The current coronavirus outbreak represents a formidable challenge to governments and healthcare professionals around the world. The speed at which the virus has spread has left most countries scrambling for a response and often highlights how poorly prepared their institutions and healthcare systems are...
XLSTAT version 2021.1
XLSTAT 2021.1 is now available! What’s new? One-class Support Vector Machine (available in all XLSTAT solutions except Basic) The One-class Support Vector Machine (One-class SVM) algorithm seeks to envelop underlying inliers. The aim is to separate data into two classes (based on a decision function): the positive one, considered as the class of inliers, and the negative one, considered as the class...
XLSTAT version 2021.3.1
XLSTAT 2021.3.1 is now available! What’s new? Model Performance Indicators (available in all XLSTAT solutions except Basic) The Performance Indicators tool was developed to help you answer the following question : How much can I trust a model to predict future events? XLSTAT provides you with a large number of indicators to evaluate the performance of a model depending on the type of variable of...
Reduce uncertainty with our new forecasting tools: XGBoost and Easy Fit / Easy Predict
A new XLSTAT version is available for our Premium and Forecasting users! What’s new? Our new XLSTAT version offers a new feature XGBoost, one of the fastest and most accurate forecasting methods, and new performance indicators in Easy Fit/Easy Predict. These features have been specifically designed for those who want to build powerful predictive models in just a few clicks, regardless of the type/size...
Co-Design with Our Users: Analyzing Performance in a CATA Experiment and Further Developing CATATIS with Givaudan
Laure Bonnet, the Sensory Project Manager at Givaudan, was conducting research on six fish-flavored products using a CATA task but found herself questioning some of the data. For this research, Bonnet was using the Check-All-That-Apply (CATA) test which is one of the so-called Rapid Tasks that is typically conducted with consumers to understand their perceptions of products. While conducting CATA...