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We present a multilinear analysis to determine the significant predictors ofstar formation in galaxies using the combined EDGE-CALIFA sample of galaxies.We analyze 1845 kpc-scale lines of sight across 39 galaxies with molecular lineemission measurements from EDGE combined with optical IFU data drawn fromCALIFA. We use the Least Absolute Shrinkage and Selection Operator (LASSO) toidentify significant factors in predicting star formation rates. We find thatthe local star formation rate surface density is increased by higher moleculargas surface densities and stellar surface densities. In contrast, we see lowerstar formation rates in systems with older stellar populations, higher gas- andstellar-phase metallicities and larger galaxy masses. We also find asignificant increase in star formation rate with galactocentric radiusnormalized by the disk scale length, which suggests additional parametersregulating star formation rate not explored in this study.

The EDGE-CALIFA Survey: Exploring the Star Formation Law through Variable Selection