Regression Analysis Made Easier with New Tools in Minitab 16 Statistical Software
Minitab 16′s General Regression tool makes it easy to investigate relationships between a measurable response variable and predictor variables.
State College, Pa. (PRWEB) May 28, 2011
A person who wants to know if her next flight will leave on time could use information such as the airline she flies with, her scheduled departure time, and the average precipitation level for her departure date to predict how long her flight may be delayed.
In statistics, this kind of analysis is called “regression.”
A new tool in Minitab 16 Statistical Software makes it easy to investigate relationships between a measurable response variable (like the length of a flight delay) and predictor variables that are both continuous (measurements such as departure time and average precipitation level) and categorical (such as the airline being used).
Minitab’s General Regression tool can help answer questions that confront professionals in every walk of life. It can determine which variables are related to a response, and by how much. Strong regression models can even be used to calculate expected values and forecast the impact of future changes.
The General Regression tool in Minitab 16 helps users perform regression analysis and understand their results, and lets them:
– Include both continuous and categorical variables
For example, engineers at a car company can use the General Regression tool to determine how various factors affect the distance it takes to stop a car. Factors such as tire width and pressure can be measured on a scale. But what about a categorical factor such as tire brand? In the General Regression dialog box, the engineers simply include their “ËœTire Brand’ data in the model, add it into “Categorical predictors”, and Minitab does the rest!
– Specify interactions
A baker trying to fine-tune a cake recipe looks at data on oven temperature, baking time and sugar level. But he also needs to account for the interaction between time and temperature””how cooking time affects the cake will depend on how hot the oven is. Minitab will automatically calculate the effects of the interaction between variables.
– Specify polynomial terms
Relationships between a response and its predictors often can be represented by a straight line, but sometimes the true relationship is a curve. Minitab’s General Regression tool can model these polynomial relationships, too.
– Transform the response using the Box-Cox transformation
When a user needs to transform a response variable because the residuals do not follow a normal distribution or exhibit nonconstant variance, Minitab’s General Regression tool can help by finding and transforming the data using the most suitable Box-Cox transformation.
Regression isn’t new””but by making it easy to include continuous and categorical variables, specify interaction and polynomial terms and transform response data with the Box-Cox transformation, Minitab 16′s General Regression tool makes the benefits of this powerful statistical technique easier for everyone.
A free, fully-functional 30-day trial of Minitab 16 Statistical Software is available at http://www.minitab.com/products/minitab/free-trial.aspx
About Minitab Inc.
Minitab Inc. is one of the world’s leading developers of statistical analysis and process improvement software for academic and commercial users.
Minitab Statistical Software is the preferred data analysis tool for businesses of all sizes and is used in more than 80 countries by thousands of distinguished companies, including Toshiba, DuPont, Boeing, Royal Bank of Scotland, Nestlé and the leading Six Sigma consultants. It has been used to implement virtually every major Six Sigma quality improvement initiative, and to teach statistics in over 4,000 colleges and universities worldwide.
Quality Companion by Minitab is the package professionals use to plan and execute Six Sigma projects in companies around the world, including Xerox, ITT Industries, Providence Health System, Nissan North America, and LexisNexis.
Quality Trainer by Minitab provides easy access to quality statistics expertise whenever you need it. This subscription-based online learning course lets you learn or refresh your knowledge anytime and helps you use Minitab to apply statistics properly. Interactive lessons based on real problems make concepts easy to retain.
Minitab Inc., headquartered in State College, Pa., operates offices in the United Kingdom, France, and Australia, and has additional representatives throughout the world. For more information, visit http://www.minitab.com.
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