The essential body height characteristics associated with milk yields must be carefully identified. In particular, this study sought to identify the most relevant body height dimension trait as a selection criterion for the milk yield increase program. The test animals for the study were 121 heads of Holstein cows, and seven characteristics of body height were recorded for each cow separately. Principal component analysis (PCA), correlation, and regression were used to analyze the data. As an analytical tool, the R program 4.2.1 with RStudio was employed. The primary elements discovered in PCA's output were the wither height (WTH), back height (BCH), rump height (RMH), thurl height (TLH), tail-head height (THH), and pins height (PNH). Afterward, the correlation and regression analysis findings showed that the rear udder height (RUH) had the highest priority in correlating with milk yields, followed by the thurl height (TLH). In conclusion, it is proposed that the RUH be utilized for the cow selection scheme while the TLH is used for the calf and heifer selection programs.