The purpose of this study was 1) to determine physical properties, and subjective evaluation of sensation of sports socks with various type of fiber content and fabric structure, and 2) to develop regression equations for predicting each sensation from physical properties of socks. Thirty healthy male students participated in the wear test with ten replications. The ANOVA, Duncans multiple test, and multiple regression, and paired-t test were used in the statistical analysis, using an SAS package. The results of this study are as follows: 1. 100% cotton socks had higher absorbency and wickability among five different socks. Comfort sensation, tactile sensation and fit sensation of socks were significantly influenced by types of fiber content. People felt that polypropylene socks were less comfortable & slightly tighter, and cotton socks were drier than the other socks. Terry socks were warmer than single jersey socks. 2. The results of the regression analysis showed that tactile sensation of socks after exercise can be predicted from the cube of moisture permeability($R^2$=0.99), and fit sensation can be predicted from drop absorbency, moisture permeability, wickability in wale and weight($R^2$=-0.98).