This research paper aims to estimate the tear and tensile strength of woven fabrics while considering a number of construction factors. Construction variables include ends per cm (EPCm), picks per cm (PPCm), an overall configuration of yarn, and fabric’s areal density or grams per square meter (GSM). While the statistical relationship in deciding the fabric strength is very complicated considering all variables, the correlation-regression model is used to explain the influence of structural parameters on the tear and tensile strength of various fundamental fabrics’ designs. With different thread densities varying reed counts, and heald count using 100 percent cotton yarn having 36.9 tex, eight different designs of plain, twill, and sateen are prepared for the study. Four regression models, built to predict the tear and tensile strength of the sample woven fabrics, are vital components of this research. It is noticed that the setting of yarn affects the tensile strength of the fabrics, and the fabric pattern determines the tear strength of the fabrics. For higher tear strength, matt weave, and tensile strength, a twill structure is desired within this scope of the fabric structures.