Charting the Epoch of Reionization demands robust assessments of what drives the production of ionizing photons in high-redshift star-forming galaxies (SFGs), and requires better predictive capabilities from current observations. Using a sample of SFGs at , observed with deep medium-resolution spectroscopy from the JWST/NIRSpec EXCELS survey, we perform a statistical analysis of their ionizing photon production efficiencies (). We consider , measured with Balmer line measurements, in relation to a number of key galaxy properties including; nebular emission line strengths ( and ( [OIII])), UV luminosity () and UV slope (), as well as dust attenuation () and redshift. Implementing a Bayesian linear regression methodology, we fit against the principal observables while fully marginalising over all measurement uncertainties, mitigating against the impact of outliers and determining the intrinsic scatter. Significant relations between and , ([OIII]) and are recovered. Moreover, the weak trends with and redshift can be fully explained by the remaining property dependencies. Expanding our analysis to multivariate regression, we determine that or ([OIII]), along with and , are the most important observables for accurately predicting . The latter identifies the most common outliers as SFGs with relatively high , possibly indicative of obscured star-formation or strong differential attenuation. Combining these properties enable to be inferred with an accuracy of dex, with a population intrinsic scatter of dex.

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