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#️⃣ 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. 🔢

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#️⃣ 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

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

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#️⃣ 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. 🔢

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