|Module code||RAL 780|
|Faculty||Faculty of Economic and Management Sciences|
Matrix methods in statistics. Simple and multiple regression models. Sums of squares of linear sets. Generalised t- and F-tests. Residual analysis. Diagnostics for leverage, influence and multicolinearity. Indicator variables. Regression approach to analysis of variance. Weighted least squares. Theory is combined with practical work. A student cannot get credit for this module with a WST undergraduate major.
|Service modules||Faculty of Natural and Agricultural Sciences|
|Prerequisites||Admission to either BScHons Statistics and Data Science or BComHons Statistics and Data Science.|
|Contact time||1 lecture per week, 1 web-based period per week|
|Language of tuition||Module is presented in English|
|Period of presentation||Semester 1 or Semester 2|
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