The purpose of this experiment was to find scientific statistic method to analyze physiological indicators of cold resistance of peach trees （Prunus persica L.). The relations among cold resistance and the four physiological indicators, including soluble sugar, proline, starch and water contents were studied by path analysis. Cold resistance was determined by parameters of electrical impedance spectroscopy (EIS) and electrolytic leakage (EL). Shoots of 8yearold peach trees were collected for the experiment from Shibei Village (Heibei Province, China, 37°96′N，115°44′E, altitude of 31m). The results showed that parameter of EIS had a direct relation to proline and soluble sugar contents, with -0.35 and -0.61 （P<0.05) as direct path coefficients, respectively, and indirect relation to water content, with 0.53 （P<0.05) as indirect path coefficient. EL parameter had direct relation to proline and water contents, with -0.51（P<0.05) and 0.50 （P<0.05) as direct path coefficients and indirect relation to soluble sugar content, with -0.75 （P<0.05) as indirect coefficient. The results indicated that proline, soluble sugar and water contents were significant physiological indicators for both EIS and EL methods which played a decisive role in cold resistance. An experiment on path analysis method was carried out, which was purposed to be firstly used to prove that EIS as a fast method was also appropriate to test cold resistance of peach trees. Especially, extracellular resistance （re） was the most significant parameter that can reflect cold resistance of peach trees. The results also indicated that path analysis was a reasonable, scientific statistic method to analyze relations to physiological indicators for cold resistance. The results of this experiment can be applied to study the correlation analysis of cold resistance of peach trees and the physiological indicators, as well as increasing the effectiveness and accuracy of selecting physical indicators.