1. Introduction to Linear Statistical Modelling Using R
Francis Duah
Maths Skills Centre,
Academic Support Office

2. Session Outline Training Available
Introduction to the R platform and R Studio
Descriptive Statistics
Graphical displays
Linear Regression
Regression Diagnostics

3. Quantitative Data Analysis
Face to face training
PG Statistics workshops at York

4. Quantitative Data Analysis
Face to face training
Gardeners Own
All you need to know as a beginner
University of Western Sydney
Data Analysis and Visualisation in R
Advanced topics in R
Harvard University Data Science Services
Regression Models in R
Technical University of Denmark
Analysis of correlated data in R

5. What should your statistical practice entail?
Descriptive Statistical Analysis
Explore nominal and/or ordinal variables using Bar/Pie charts
Explore your data to obtain descriptive statistics of your variables
Explore the distribution of your continuous/interval scale variables
Using charts
Statistical tests

6. What should your statistical practice entail?
Inferential Statistical Analysis
Look for association between nominal variables and/or ordinal variables
Look for differences in mean averages for groups (Between subjects)
in with respect to some continuous variables
Look for differences between the mean average for repeated measurements of continuous variables (Within subjects)

7. What should your statistical practice entail?
Model development
Look for bivariate relationships between continuous/scale variables
Pearson correlation
Spearman correlation
Develop models that fit your data
Simple regression analysis
Multiple regression

8. Excel Files to Copy
Filenames
gpapoints.csv
exam.csv

9. Practical – Demonstration
Goal To develop a model for predicting the MBA GPA Scores
Import or load the CSV file gpapoints.csv
Obtain Descriptive Statistics of the variables
Differences
Is there a difference between males and females mbagpa?
Is there a difference between males and females gmatscore?
Is there a difference between males and females degreegpa?
Look for bivariate relationships between continuous/scale variables
Develop linear regression models for prediction of mbagpa.
Which independent variables significantly predict mbagpa?

10. Practical – Exercise or Homework
Goal To develop a model for predicting the EXAM MARKS of a person
Import or load the CSV file exam.csv
Obtain Descriptive Statistics of the variables.
Differences
Is there a difference between males and females A-level scores?
Is there a difference between males and females exam results?
Is there a difference between males and females anxiety score?
Is there difference between males and females number of hours of revision?
Look for bivariate relationships between continuous/scale variables
Develop regression models that may be used to predict exam marks
Which independent variables significantly predict exam marks?

11. Take Home Message Practice and practice with authentic research data.
Seek advice from your supervisor.
Consult the Maths Skills Centre at the earliest opportunity.
Attend our PG Statistics Workshops.

12. Thank You for Listening
Keep in touch
Francis Duah
Maths Skills Centre,
Academic Support Office