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.