In order to determination of relationship between yield and physiological and phenological traits and to understanding direct and indirect effects of various parameters on the yield, an experiment was conducted on 20 genotypes of strawberries at center of research of Kurdistan, Iran. Multivariate statistical analyses including principal components analysis (PCA) and cluster analysis were used to assess the pattern grouping of genotypes. Results of cluster analysis based on all measured traits, grouped genotypes into 5 clusters at Euclidean distance of 10. Important traits with high effects on clustering included chlorophyll a, b, ab, anthocyanin, yield, flowering period and appearance of first flower and fruit. PCA analysis revealed 4 principle components that covered 68.62% of total variance. The first component with 29.57% included chlorophyll a, b, ab, anthocyanin and yield, and the second component with 17.24% included flowering period and appearance of first flower and fruit. Results of biplot were similar to the results of cluster analysis. Although there was positive and significant correlation between chlorophyll a, b, ab, flowering period, and appearance of the first fruit with yield, there were not significant correlation between soluble solids and titratable acidity with yield. There was a negative and significant correlation between anthocyanin and appearance of the first flower with yield. The results of stepwise regression showed that 6 characters entered to model including anthocyanin content, flowering period, appearance of the first fruit and flower, stolon and fruiting period. Genetic Path coefficient analysis revealed that appearance of the first fruit had the highest positive direct effect on yield and anthocyanin had the highest negative direct effect on yield.