This paper focuses on the statistical analyzing of hall currents and the ion slip effect on Sisko nanofluid. The present analysis of the flow deals with chemical reaction, porous medium, and magnetohydrodynamic flow over a stretching sheet. Applications of the present study are found in predicting sheer rates, lubricating oil and greases, and making non-structured materials. Its industrial applications include reduction in oil-pipeline function, surfactant for comprehensive cooling and heating system and flow traces. The non-linear partial differential equations are converted into ordinary differential equations using convective boundary conditions by utilizing similarity transformations. The ordinary differential equation is solved numerically by applying the fifth order Runge-Kutta-Fehlberg scheme via shooting technique. The impact of various non-dimensional flow parameters on velocity, temperature, and concentration distributions are analyzed and exemplified graphically. The results compare favorably with previously published works. The statistical analysis indicates that the correlation coefficients of parameters <i>A, k, Nt</i>, and <i>Kc</i> are remarkable to the physical attributes. Results indicate that an increase in hall current and chemical reaction enhances the temperature and reduces the concentration profile.