SOL Prep

Data Modeling

Virginia SOL DS.9

Select and analyze data models to make predictions while assessing accuracy and uncertainty.

Study DS.9 with SOL PrepBack to Data Science

What students need to be able to do

  • Identify factors contributing to dataset behavior (e.g., true values, bias, noise).
  • Fit models (e.g., univariate, bivariate) to data for prediction.
  • Distinguish between linear and nonlinear associations using visualizations.
  • Identify overly complex models that fit random noise, reducing predictive accuracy.
  • Use regression techniques to select optimal features.
  • Recognize implications of removing features from a model.
  • Select the optimal model for a dataset using technological tools.