University of Calgary

STAT 429 - Applied Regression Analysis - Fall 2007

Multiple linear regression model including parameter estimation, simultaneous confidence intervals and general linear hypothesis testing using matrix algebra. Applications to forecasting. Residual analysis and outliers. Model selection: best regression, stepwise regression algorithms. Transformation of variables and non-linear regression. Computer analysis of practical real world data.
This course may not be repeated for credit.


  • H(3-1T)


  • Statistics 421[STAT421] is highly recommended as preparation and, Credit for both Statistics 429 and 431 will not be allowed


  • Mathematics 323


This course will be offered next in Fall 2008.
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