Interpreting Regression Output - Without all the Statistics

Interpreting Regression Output - Without all the Statistics Theory

Regression analysis is one of multiple data analysis techniques used in business and social sciences. The regression analysis technique is built on a number of statistical concepts including sampling, probability, correlation, distributions, central limit theorem, confidence intervals, z-scores, t-scores, hypothesis testing and more. You may not have studied these concepts. And if you did study these concepts, you may not remember all the statistical concepts underlying regression analysis. â€˜Interpreting Regression Output Without all the Statistics Theoryâ€™ is for you if you need to read and interpret regression analysis data without knowing all the underlying statistical concepts.

This book is primarily written for graduate or undergraduate business or humanities students interested in understanding and interpreting regression analysis output tables. This book is also helpful for executives and professionals interested in interpreting and using regression analysis. It is a wonderful resource for students or professionals looking for a quick refresher before exams or interviewing for jobs in the data analysis industry.

This book is not intended to replace a statistics text book or to be a complete guide to regression analysis. It is intended to be a quick and easy-to-follow summary of the regression analysis output. â€˜Interpreting Regression Output Without all the Statistics Theoryâ€™ focuses only on basic insights the regression output gives you.

This book does not assume that the reader is familiar with statistical concepts underlying regression analysis. For example, the reader is not expected to know the central limit theorem or hypothesis testing process. The reader is NOT expected to be an expert in Microsoft Excel, R, Python or any other software that may perform a regression analysis.
Interpreting Regression Output Without all the Statistics Theory is based on Senith Mathewsâ€™ experience tutoring students and executives in statistics and data analysis over 10 years.

The first chapter of this book shows you what the regression output looks like in different software tools. The second chapter of Interpreting Regression Output Without all the Statistics Theory helps you get a high level overview of the regression model. You will understand how â€˜goodâ€™ or reliable the model is. The third chapter of this book discusses the regression equation and helps you find the ingredients of the regression equation. The fourth digs deeper into the regression equation. It helps you interpret the equation and understand its components. The fifth chapter addresses important points you must keep in mind when using regression analysis. It includes the limitations of regression and provides resources and further areas of study if you want to get more proficient in regression analysis.

The companion webpage provides readers with additional resources.
Country USA
Binding Kindle Edition
ReleaseDate 2018-01-22
Format Kindle eBook

Country	USA
Binding	Kindle Edition
ReleaseDate	2018-01-22
Format	Kindle eBook

Interpreting Regression Output - Without all the Statistics Theory

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