A Simple Introduction to Regression Modeling using R
In statistical modeling, regression analysis is a group of statistical processes used in R programming and statistics to determine the relationship between dataset variables. It is a solid technique for determining the factors that affect an issue of interest. You can confidently establish which ele...
Saved in:
| Main Authors: | Amr R Kamel, Mohamed Reda Abonazel |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
The Scientific Association for Studies and Applied Research
2023-04-01
|
| Series: | Computational Journal of Mathematical and Statistical Sciences |
| Subjects: | |
| Online Access: | https://cjmss.journals.ekb.eg/article_286631.html |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Enhancing Software Effort Estimation in the Analogy-Based Approach Through the Combination of Regression Methods
by: Taghi Javdani Gandomani, et al.
Published: (2024-01-01) -
Mean centering is not necessary in regression analyses, and probably increases the risk of incorrectly interpreting coefficients
by: Lee H. Wurm, et al.
Published: (2025-07-01) -
The mixture of multiple regression equations: open problems
by: T. Ya. Yeleyko, et al.
Published: (2025-06-01) -
A New Biased Estimation Class to Combat the Multicollinearity in Regression Models: Modified Two--Parameter Liu Estimator
by: Mohamed Reda Abonazel
Published: (2025-04-01) -
Advancing Sustainable Road Construction with Multiple Regression Analysis, Regression Tree Models, and Case-Based Reasoning for Environmental Load and Cost Estimation
by: Joon-Soo Kim
Published: (2025-06-01)