![]() ![]() Using Fit Y by X, you can test for and model dependencies between a single input and outcome. JMP puts these powerful methods in the hands of practitioners of all skill levels, and in a form they can easily use. ![]() The class of linear regression models is diverse and ubiquitous. This helps you to assess the power of the data you have collected to address the questions at hand. Alternative to stage plot pro pro#Model results generated by JMP can also be dynamically profiled in a mobile or desktop web browser.įinally, using an integrated facility, JMP Pro can easily perform sample size calculations for fitted models (simple or complex) via Monte Carlo simulation. Through visual and interactive reports and profilers, JMP helps you communicate simple or complex findings to those who may not have an affinity with statistical methods, yet who need to understand and act upon your findings. Alternative to stage plot pro code#With JMP, not only can you get your modeling done quickly and correctly, using the Formula Depot (JMP Pro) you can easily compare and contrast models built using different approaches, and generate code in C, Python, JavaScript or SAS that can be deployed to score new cases. JMP also has a set of modeling utilities that deal with common data issues upfront, while JMP Pro includes a rich set of sophisticated algorithms for building better models with messy data. JMP and JMP Pro are intended to meet the statistical needs of most users most of the time, surfacing the various techniques and results in a way that you can easily grasp, but without compromising the depth of the analysis. JMP provides comprehensive facilities for univariate linear and nonlinear regression, the more useful multivariate approaches for exploration, dimensionality reduction and modeling, and for the analysis of time series and categorical data. No matter what the shape and size of your data, so long as it fits in memory, JMP will allow you to get the most from it, whatever your current level of statistical expertise. Whether your goal is description, prediction or explanation, you will appreciate the statistical discovery paradigm of JMP, which exploits the intrinsic synergy between visualization and modeling. Through the effective application of statistics, you can gain insight, foresight and the means for continuous learning and improvement, no matter what context you work within. It allows you to solve problems, reveal opportunities and make informed decisions in the face of uncertainty. Statistics is the discipline of collecting, describing and analyzing data to quantify variation and uncover useful relationships. ![]()
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