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HR / People Analytics · how-to

Engagement's Impact on Sales — driver regression — in Python

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

Same analysis, your tool

CORRELATE
confirm engagement tracks sales before modeling
df["driver_j"].corr(df["outcome"])
REGRESS
quantify how much each unit of engagement moves sales
smf.ols("y ~ x1 + x2", data=df).fit()
VALIDITY · mechanical
only keep the model if it is statistically reliable
df["measure"].corr(df["criterion"])
PREDICT
use the fitted equation to forecast the outcome
model.predict(df)
FRAME · mechanical
frame engagement investment in business terms
Grounded in
Predictive HR Analytics with Excel — §15.5 Multiple Regression: Analyze Engagement

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