Singapore University of Social Sciences

Principles of Regression Analysis (MTH307)

Applications Open: 01 October 2019

Applications Close: 30 November 2019

Next Available Intake: January 2020

Course Types: Modular Undergraduate Course

Language: English

Duration: 6 months

Fees: To be confirmed

Area of Interest: Science & Technology

Schemes: Lifelong Learning Credit (L2C)

Funding: To be confirmed


Synopsis

MTH307 is the first of two sequential courses on applied regression anlysis (the second one is MTH308: Applications of Regression Analysis). It aims to lay the theoretical foundation essential to regression analyis. Topics include review on probability & statistics, simple linear regression, and multiple linear regression.

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

Topics

  • Introduction and review of probability & statistics.
  • Sampling distributions and the Central Limit Theorem.
  • Testing a hypothesis about a population mean.
  • Overview of regression analysis.
  • Simple linear regression.
  • Model assumptions.
  • The coefficient of correlation.
  • Using the model for estimation and prediction.
  • General form of a multiple regression model.
  • A first-order model with quantitative predictors.
  • The multiple coefficient of determination, R-squared.
  • Testing the utility of the model: the analysis of variance F Test.

Learning Outcome

  • Implement linear and multi linear regression models.
  • Determine linear unbiased properties of regression models.
  • Determine mean and variance of and between regression model parameters.
  • Interpret test statistics of regression model parameters.
  • Analyze multiple regression models.
  • Interpret regression model parameters from data.
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