Predictive Analytics I (STAT30240)
Credits 5 Subject Statistics & Actuarial Science
Level 3 School Mathematics and Statistics
Semester   Information Autumn Module Coordinator Dr Michelle Carey

Topics covered:

1. Matrix revision and Exploratory data analysis;

2. Simple linear regression (SLR): properties of least squares estimates; t-tests; F-tests; Confidence intervals; Prediction intervals; Complete SLR analysis in the R statistical software;

3. Multiple linear regression (MLR): properties of least squares estimates; t-tests; F-tests; Confidence intervals; Prediction intervals; Complete MLR analysis in the R statistical software;

4. Weighted Least Squares Estimation.

5. Regression Diagnostics and Leverage, Influence and Outliers

6. Model Building; Transformations and Interactions

All the material is supplemented with its implementation in the R programming language which is rated 7th in IEEE list of top programming languages.







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Curricular information is subject to change