Abstract: There are two common entities that meteorologists consider contributing factors within a storm; namely, pressure and wind speed. The present study uses actual readings from a buoy in the Gulf near Florida and a reading estimated using Doppler within a hurricane and identifies the relationship between wind speed and pressure using both regression analysis and non-response analysis to detect interaction and higher order terms. Then proceed to perform non-response analysis to obtain useful information about the relationship between pressure, wind speed and temperature. In this study it was found that non-response analysis can be used as an alternative to regression analysis and can be further extended to detect relationship among co-dependent variables. Utilizing these findings, solutions to the developed model has been obtained that estimated one variable as a function of the remaining two with two solutions depending on the season; that is, pressure as it relates to wind speed and temperature as it relates to wind speed and pressure and wind speed as it relates to both pressure and temperature.