Singapore University of Social Sciences

Applied Regression Analysis I

Applied Regression Analysis I (MTH357)


MTH357 Regression Analysis I will introduce students to the theory and practice of simple, multiple and polynomial regression. Many examples will be provided to illustrate the concepts of testing, estimation and statistical modeling using regression. There will be questions in the TMA which require students to apply regression techniques using R.

Level: 3
Credit Units: 5
Presentation Pattern: Every January


  • Linear Regression
  • Tests of Significance
  • Multiple Regression
  • Estimation of Model Parameters
  • Residual Analysis
  • Formal Test for Lack of Fit
  • Detecting Influential Obervations
  • Measures of Influence
  • Polynomial Models
  • Nonparametric Regression
  • Indicator Variables
  • Multicollinearity

Learning Outcome

  • Apply linear and multilinear regression models.
  • Interpret regression model parameters from data.
  • Analyze data with regression models.
  • Verify assumptions of various regression models are satisfied.
  • Assess the fit of a regression model to data.
  • Implement suitable strategies to correct regression model inadequacies.
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