This book provides a set of case studies that can supplement any text on regression analysis. Developed at the Wharton School of the University of Pennsylvania, it is used for the second semester of a beginning statistics course for MBA students. The casebook provides the latest in data analysis techniques, and includes a discussion of JMP and Minitab commands.
Business Analysis Using Regression: A Casebook
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Most Helpful Customer Reviews
7 of 8 people found the following review helpful:
3.0 out of 5 stars
GOOD FOCUS, POORLY PRESENTED,
By
This review is from: Business Analysis Using Regression: A Casebook (Paperback)
This book has an interesting premise of focusing statistics for business at the mid-level using the JMP software. The concepts addressed are the right ones, even the order is good.However, on the downside, it is very difficult to read. The cases are not well explained. This book is used at Wharton's 1st year core course in statistics and the general agreement is that it is very hard to comprehend it. I recommend an editor to the authors.
2 of 2 people found the following review helpful:
2.0 out of 5 stars
Business Anal using Regression Case book,
By Dr. J "mpj" (Santa Fe) - See all my reviews
Amazon Verified Purchase(What's this?)
This review is from: Business Analysis Using Regression: A Casebook (Paperback)
This casebook was originally published about a decade ago and the data for the cases came in a format not easily used after downloading. The format may have been updated to a more modern one but I was not successful in opening the files for use in Excel or SPSS, which is what my students use.
5.0 out of 5 stars
One of the best textbooks I've ever had.,
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Amazon Verified Purchase(What's this?)
This review is from: Business Analysis Using Regression: A Casebook (Paperback)
This book is great. It explains everything in layman's terms. Very easy to read and understand!
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Inside This Book
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Key Phrases - Statistically Improbable Phrases (SIPs):
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display feet, leverage plot, expanded estimates, normal quantile plot, lag residuals, financial segment, categorical factor, scatterplot matrix, gas station example, comparison circles, sorting lines, sorting performance, fitted slope, root mean square error, prediction intervals, model platform, large cottage, internal managers, run size, cellular phone use, external managers, outlying values, prediction limits, time series plot, one unit change Key Phrases - Capitalized Phrases (CAPs): (learn more)
Term Estimate Std Error, Ratio Prob, Mean of Response, Itl Intercept, Center City, Ratio Model, Sum of Squares Mean Square, Basic Business Statistics, Price Diff, Summary of Fit, Analysis of Variance Source, Tot Comp, Citrus Hill, Mngr Rating, Std Dev, Transformed Fit, Joint Temp, Confid Curves, Minute Maid, Total Comp, Log Sorts, Pct Disc, Citizens Bancorp, Diff Footage, Diff Titles New!
Books on Related Topics | Concordance | Text Stats Browse Sample Pages:
Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
display feet, leverage plot, expanded estimates, normal quantile plot, lag residuals, financial segment, categorical factor, scatterplot matrix, gas station example, comparison circles, sorting lines, sorting performance, fitted slope, root mean square error, prediction intervals, model platform, large cottage, internal managers, run size, cellular phone use, external managers, outlying values, prediction limits, time series plot, one unit change Key Phrases - Capitalized Phrases (CAPs): (learn more)
Term Estimate Std Error, Ratio Prob, Mean of Response, Itl Intercept, Center City, Ratio Model, Sum of Squares Mean Square, Basic Business Statistics, Price Diff, Summary of Fit, Analysis of Variance Source, Tot Comp, Citrus Hill, Mngr Rating, Std Dev, Transformed Fit, Joint Temp, Confid Curves, Minute Maid, Total Comp, Log Sorts, Pct Disc, Citizens Bancorp, Diff Footage, Diff Titles New!
Books on Related Topics | Concordance | Text Stats Browse Sample Pages:
Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
Citations (learn more)
29
books
cite this book:
See all 29 books citing this book
- SAS for Linear Models, Fourth Edition by Ramon Littell in Back Matter
- Applied Multivariate Statistics With SAS Software by Ravindra Khattree in Back Matter
- Output Delivery System: The Basics by Lauren E. Haworth in Back Matter
- Integrating Results through Meta-Analytic Review Using SAS Software by Morgan Wang in Back Matter
- Tuning SAS Applications in the OS/390 and Z/OS Environments by Michael A. Raithel in Back Matter
See all 29 books citing this book
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