Plots: residual, factorial, contour, surface, etc.

Binary, ordinal and nominal logistic regression One-sample Z-test, one- and two-sample t-tests, paired t-test Brush graphs to explore points of interest Automatically update graphs as data change Probability and probability distribution plots Binned scatterplots*, boxplots, charts, correlograms*, dotplots, heatmaps*, histograms, matrix plots, parallel plots*, scatterplots, time series plots, etc. Graphs seamlessly update as data changes and our cloud-enabled web app allows for secure analysis sharing with lightning speed. Visualizations can help communicate your findings and achievements through correlograms, binned scatterplots, bubble plots, boxplots, dotplots, histograms, heatmaps, parallel plots, time series plots and more. Use classical methods in Minitab Statistical Software, integrate with open-source languages R or Python, or boost your capabilities further with machine learning algorithms like Classification and Regression Trees (CART®) or TreeNet® and Random Forests®, now available in Minitab's Predictive Analytics Module. Skillfully predict, compare alternatives and forecast your business with ease using our revolutionary predictive analytics techniques. There’s actually people on the other end of the phone that can help you get there. This is tool that holds the basis for all commonly applied statistical analysis techniques. Key statistical tests include t tests, one and two proportions, normality test, chi-square and equivalence tests.Īccess modern data analysis and explore your data even further with our advanced analytics and open source integration. Anyone who is employed performing statistical analysis on data sets should be familiar with Minitab. Only Minitab offers a unique, integrated approach by providing software and services that drive business excellence now from anywhere thanks to the cloud.

Regardless of statistical background, Minitab can empower all parts of an organization to predict better outcomes, design better products and improve processes to generate higher revenues and reduce costs. Forecast comsales for period 21 when indsales are projected to be 175.3 million. Transform the resulting intercept parameter and its standard error by dividing by 1 0.631164 (the slope parameter and its standard error do not need transforming). With the power of statistics and data analysis on your side, the possibilities are endless. Perform a linear regression analysis of Yco vs Xco.

Visualizations are good, but pair them with analytics to make them great. Data is everywhere these days, but are you truly taking advantage of yours? Minitab Statistical Software can look at current and past data to find trends and predict patterns, uncover hidden relationships between variables, visualize data interactions and identify important factors to answer even the most challenging of questions. Visualize, analyze and harness the power of your data to solve your toughest challenges and eliminate mistakes before they happen.

Regression analysis minitab