Applied Linear Regression for Business Analytics with R A Practical Guide to Data Science with Case Studies /
| Main Author: | |
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| Corporate Author: | |
| Summary: | XVII, 276 p. 86 illus., 53 illus. in color. text |
| Language: | English |
| Published: |
Cham :
Springer International Publishing : Imprint: Springer,
2023.
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| Edition: | 1st ed. 2023. |
| Series: | International Series in Operations Research & Management Science,
337 |
| Subjects: | |
| Online Access: | https://doi.org/10.1007/978-3-031-21480-6 |
| Format: | Electronic eBook |
Table of Contents:
- 1. Introduction
- 2. Basic Statistics and Functions using R
- 3. Regression Fundamentals
- 4. Simple Linear Regression
- 5. Multiple Regression
- 6. Estimation Intervals and Analysis of Variance
- 7. Predictor Variable Transformations
- 8. Model Diagnostics
- 9. Variable Selection.