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HR / People Analytics · how-to

Flight Risk — predict which employees will resign — in SQL

A turnover-prediction analysis. Every step below is the same analysis rendered for SQL — grounded in the source, honest where SQL can't do a step cleanly.

Same analysis, your tool

DERIVE

logistic regression needs numeric inputs; encode categoricals

expr AS derived

CORRELATE

screen which variables actually track turnover before modeling

corr(driver_j, outcome)

FIT-CLASSIFIER

estimate the equation linking predictors to probability of resigning

SQL can’t do this cleanly

FIT-CLASSIFIER has no clean sql form —

VALIDITY · mechanical

confirm each predictor contributes reliably

corr(measure, criterion)

PREDICT

score each employee's likelihood of leaving to prioritize retention

SQL can’t do this cleanly

PREDICT has no clean sql form —

Honest note: SQL can’t do 2 of these steps cleanly — the switcher shows which tools can.

Grounded in

Predictive HR Analytics with Excel, Sec 19.8 Logistic Regression: Predict Staff Resignation (also 12.4, 17.9)

Doing HR / People Analytics work?

The full HR / People Analytics guide covers this and the whole workflow around it — reconciled from the field’s best books.

Want to run it, not read it?

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