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Business Analysis Using Regression
Overview of attention for book
Table of Contents
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Book Overview
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Chapter 1
Fitting Equations to Data
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Chapter 2
Assumptions in Regression Modeling
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Chapter 3
Prediction and confidence intervals in regression
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Chapter 4
Multiple regression
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Chapter 5
Collinearity
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Chapter 6
Modeling Categorical Factors with Two Levels
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Chapter 7
Modeling Categorical Factors with Two or More Levels
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Chapter 8
Summary Regression Case
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Chapter 9
Comparing Many Mean Values
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Chapter 10
Analysis of Variance with two Factors
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Chapter 11
Modeling a Categorical Response
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Chapter 12
Modeling Time Series
Overall attention for this book and its chapters
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Mentioned by
twitter
1
X user
syllabi
1
institution with syllabi
Citations
dimensions_citation
16
Dimensions
Readers on
mendeley
11
Mendeley
Book overview
1. Fitting Equations to Data
2. Assumptions in Regression Modeling
3. Prediction and confidence intervals in regression
4. Multiple regression
5. Collinearity
6. Modeling Categorical Factors with Two Levels
7. Modeling Categorical Factors with Two or More Levels
8. Summary Regression Case
9. Comparing Many Mean Values
10. Analysis of Variance with two Factors
11. Modeling a Categorical Response
12. Modeling Time Series
Summary
X
Syllabi
Dimensions citations
This data is correct as of December 2015 - for more up to date information, please visit
https://opensyllabus.org/
So far, Altmetric has seen this research output assigned in
7
syllabi from
1
institutions on Open Syllabus Project.
Institution
Syllabi count
Course subject areas covered
University of Pennsylvania
7
Business