• Level I - Introductory
  • Introduction to Microsoft Excel - Ginger Holmes Rowell
  • Introduction to Minitab - Ginger Holmes Rowell
  • Descriptive Statistics:  Mean and Standard Deviation - Erica and Keeley Hutchison
  • Scatterplots - Ginger Holmes Rowell
  • Curve Fitting - Ginger Holmes Rowell
  • Hypothesis Testing - James Fenton, Tanya Shope, Andy Paine
• Level II - One Independent Variable
  • Correlation - Ginger Holmes Rowell
  • Simple Linear Regression
    • Model  - Ginger Holmes Rowell
    • Inferential Measures - Keeley Hutchison, Ian Morris
  • Interval Estimation 
    • Confidence Intervals - Sittiporn Intuwonges, Keeley Hutchison
    • Prediction Intervals - Sittiporn Intuwonges, Keeley Hutchison
    • Confidence Bands - Anita Patel, Raymond Hanna
  • Regression Through the Origin - Keeley Hutchison
  • Transformations - MTSU Stat 4360 Student
• Level III - More than One Independent Variable
  • Overview - Raymond Hanna
  • Multiple Correlation
    • Correlation - Raymond Hanna
    • Plots and Matrices - Raven Neese
    • Partial Correlation Coefficients - Shilei Yang, Raymond Hanna
  • Multiple Regression 
    • Model - Andy Paine
    • Inferences - Raven Neese
  • Categorical Variables - Andy Paine
  • Standardized Regression Model - Keeley Hutchison
  • Multiple Regression Diagnostics
    • Multicollinearity - MTSU Stat 4360 Student
    • Studentized Residuals - Andy Paine
    • DFits - Tanya Shope, Andy Paine
    • Cook's Distance - Ian Morris, Jeff Loop
    • Stepwise Regression - Andy Paine
  • Selecting the Model
    • Best Subsets Regression - Jeff Loop
    • Building a Regression Model - Anita Patel, Jeff Loop, Keeley Hutchison
• Level IV - Applications
  • Smoothing - Sittiporn Intuwonges
  • Piecewise Regression - Keeley Hutchison, Melissa McCue
• Dictionary - Ginger Holmes Rowell, Raven Neese, Jennifer Dennison

Regression Tutorials                   Stats @ MTSU