Ordinary least squares regression, generalized linear models, variable selection, and regularization techniques.
These are the key learning objectives for Linear Models on SOA Exam SRM. Paraphrased from the public SOA syllabus — we recommend also checking the current syllabus on soa.org before your exam sitting.
Fit and interpret ordinary least squares regression models
Apply generalized linear models with different link functions and response distributions
Use variable selection methods including forward, backward, and stepwise selection
Apply regularized regression including ridge, lasso, and elastic net
Upload your ACTEX Exam SRM digital edition, scanned ASM pages, TIA handouts, or your own notes. exclam.ai extracts the Linear Models sections and generates flashcards automatically.
Generate multiple-choice quizzes specifically on Linear Models. Weak questions get re-surfaced until you get them right consistently.
Because Linear Models is 40–50% of your exam, losing it during review costs you. FSRS brings it back at the optimal moment.
SOA Exam SRM has 5 topic areas. Linear Models is weighted at approximately 40–50% of the exam — here is where it sits relative to the other topics.
| Topic area | Weight |
|---|---|
| Basics of Statistical Learning | 7–13% |
| → Linear Models | 40–50% |
| Decision Trees | 20–25% |
| Principal Components and Cluster Analysis | 5–10% |
| Time Series Models | 5–10% |
Supervised and unsupervised learning, model assessment, bias-variance tradeoff, and resampling methods including cross-validation.
Classification and regression trees, pruning, and ensemble methods including bagging, random forests, and boosting.
Dimension reduction via principal components analysis and unsupervised clustering via k-means and hierarchical clustering.
Introduction to time series analysis including autoregressive, moving average, and ARIMA models.
Upload your ACTEX Exam SRM digital edition, scanned ASM pages, TIA handouts, or your own notes. exclam.ai generates a fully guided study plan with adaptive flashcards and quizzes for this topic.