In a linear hierarchy regression, it is important to know the change in R-squared to know if additional variables in a model increase the association with the predictor variables between the models (independent variables).

The quality of an ANCOVA depends on the heteroscedasticity and the normality of residuals. Currently, these two aspects are not part of the output of the ANCOVA analysis. They have to be manually calculated (in the basic version for normality, i...

La necesidad de tomar desiciones nos hace usar estadistica nos guste o no mi idea futurista es un Cientifico de Datos asistente al tomador de desiciones, robot con inteligencia artifical con todo el proceso del BIG DATA

Currently the colors for groups are automatically chosen... if we could pick the colors ourselves it would be easier to track the same groups when you are doing lots of scatter plots

Current XLSTAT contains only Electre method of multicriteria analysis. It would be of great benefit to users to have AHP, Cheng's Extent, Promethee I & II, Van Lohrvan method, Cheng's entropy and similar methods of decision making.

Estimating lagged prediction models from autocorrelated historical data is a common challenge in business and economics. The resulting multicollinearity causes the models to perform poorly. The Almon lag method is a clever way to deal with the mul...