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What really drives pay and quitting

Tested HR beliefs with statistics: experience, not age, drives pay, and a firing rumor was false

60%of pay explained by experience + age (25% by age alone)

IBM's public HR dataset: fictional but realistic.

Proof you can check:Public dataLimits said openly

Analytics & dashboards

Experience pays almost twice as much as age

$257more a month per year of age
$489more a month per year of experience

Lubo Bali · lubobali.com

No. 28Regression on IBM HR data

The problem

HR decisions often run on beliefs: older people earn more, new hires get fired first. If the belief is wrong, the policy built on it is wrong too.

What I built

An R analysis that tests each belief: regressions for what drives salary (monthly income), a t-test for the firing rumor, and an attrition comparison of who stays and who leaves.

Tech & why

Statistics instead of gut feeling: a regression shows how much each factor adds, and a p-value shows when a difference is just noise.

  • R
  • Statistics

The result

Each year of experience adds about $489 a month, against $257 per year of age; adding experience lifts the model from 25% to about 60%. People who left were about 4 years younger, and the "new hires get fired" rumor didn't hold (p = 0.68).

Data: IBM HR Analytics (Kaggle) (public dataset).

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