Course Highlights
  • Interpret the different components of a linear regression equation.
  • Distinguish between statistical measurements such as R, R2 and adjusted R2 to assess goodness-of-fit for a regression model.
  • Use technological tools to construct simple and multiple linear regression models.
  • Describe the components of a time series.
  • Select from a range of different methods to determine the most appropriate choice for trend fitting and forecasting for a given set of time series data.
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UQx: Statistics for Business Analytics: Modelling and Forecasting

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