Regression Analysis: An Intuitive Guide for Using and Interpreting Linear Models. Questo articolo non è disponibile.Regression Analysis: An Intuitive Guide for Using and Interpreting Linear Models

Learn regression analysis at a deeper level with guidance written in everyday language!

Intuitively understand regression analysis by focusing on concepts and graphs rather than equations. Learn practical tips for modeling your data and interpreting the results. Feel confident that you're analyzing your data properly and able to trust your results. Know that you can detect and correct problems that arise.

Progress from a beginner to a skilled practitioner ready for real-world applications!

After an overview of how regression works and why to use it, the book covers a range of topics, including specifying and assessing models, practical applications, types of effects, statistical significance, predictions, and an array of problem-solving techniques. Contains practical and analytical guidance.

• Select the correct type of regression analysis.
• Specify the best model and assess how well it fits the data.
• Interpret the results.
• Understand main effects, interaction effects, and modeling curvature.
• Use polynomials, data transformations, and weighted least squares.
• Generate predictions and evaluate their precision.
• Check the assumptions and resolve issues.
• Identify and manage unusual observations.
• Examples of many regression models and scenarios.
• Access free downloadable datasets so you can work the examples yourself.

About the Author

Jim Frost has extensive experience using statistical analysis in academic research and consulting projects. He’s been performing statistical analysis on-the-job for over 20 years. For 10 of those years, he was at a statistical software company helping others make the most out of their data. Jim loves sharing the joy of statistics. To help with this process, he has his own website and writes a regular column for the American Society of Quality's Statistics Digest.

Jim Frost has extensive experience using statistical analysis in academic research and consulting projects. He's been performing statistical analysis on-the-job for over 20 years. For 10 of those years, he was at a statistical software company helping others make the most out of their data. Jim loves sharing the joy of statistics. In addition to writing books, he has his own statistics website and writes a regular column for the American Society of Quality's Statistics Digest. Find him online at statisticsbyjim.com.