Ahmad-Magdy-Osman / AppliedStatistics

:hash: R, Linear Regression, Inferences, Correlation Analysis, Diagnosis, Remedial Measures,, Multiple Linear Regression, Quantitative and Qualitative Predictors, Logistic Regression and Poisson Regression, FIFA 18 Players Wages Prediction, HR Attrition at IBM Prediction. :1234:

#️⃣ Applied Statistics - MATH327 🔢

R, Linear Regression, Inferences, Correlation Analysis, Diagnosis, Remedial Measures,, Multiple Linear Regression, Quantitative and Qualitative Predictors, Logistic Regression and Poisson Regression, FIFA 18 Players Wages Prediction, HR Attrition at IBM Prediction.

I took this class in Fall 2017. Each folder is its own project/exercise. Each folder in this repository explores a topic on its own. The projects/exercises are all in R and can be walked through easily. Applied Linear Statistical Models Student reference book was used in this class. Projects in this repository include:

• Linear Regression

• Inferences in Regression and Correlation Analysis

• Diagnosis and Remedial Measures

• Simultaneous Inferences and Further Regression Analysis

• Multiple Linear Regression

• Multiple Linear Regression Review Questions

• Regression Models for Quantitative and Qualitative Predictors

• Logistic Regression and Poisson Regression

• FIFA 18 Players Wages Prediction - Multiple Regression Analysis

  • Multiple Regression Model of FIFA 18 Complete Player Dataset - files included:
    • Dataset
    • First and Final Drafts of the project, in R-Markdown and Word.
    • PowerPoint Presentation
    • Poster Presentation

• HR Attrition at IBM Prediction - Logistic Regression

  • Logistic Regression Model of IBM HR Analytics Employee Attrition & Performance Dataset - files included:
    • Dataset
    • Project in R-Markdown and Word.

Feel free to clone this repository and to explore the projects.