Point and click to create exploratory graphics including box plots, histograms, scatter plots, mosaic plots, overlaid line plots, and 3-D rotating plots. Compute descriptive statistics and correlations to confirm numerically the relationships you find visually. For high-dimensional data, plot principal components in two or three dimensions to understand the structure of your data. Find the Best Model Quickly When you have identified potential relationships in your data, test your ideas with powerful modeling facilities. Fit polynomial curves with confidence bands, kernel estimates, smoothing splines, and loess smoothers.
All curves are dynamically adjustable with slider controls.
Fit linear models with classification effects for analysis of variance and analysis of covariance. Choose response distributions and link functions to fit logistic regression. Poisson regression, and other generalized linear models. Efficiently Evaluate your models using summary statistics, analysis of variance, parameter estimates, and collinearity diagnostics. Use partial leverage plots to examine changes in the residuals for the model with and without each explanatory variable.