a study assessed the on standardized test performance using multiple regression analysis and Pearson correlations. In order to do their statistical tests, the authors first checked for assumptions (such as normality and linearity), then calculated Pearson's r to find bivariate connections, and last used regression models to make predictions. They concluded that unexcused absences strongly predicted lower academic performance, while excused absences had a smaller or no significant influence. They rejected the null hypothesis based on a p-value <.05.investigated the connection between teachers' technological readiness and their use of technology in the classroom using a correlational design. 200 instructors were polled for this study to gauge their readiness and technology utilization in the classroom. Teachers who reported feeling better prepared were also more likely to successfully integrate technology into their teaching methods, according to the findings, which showed a somewhat favorable association (r = 0.38, p < 0.05). The significance of teacher readiness in improving the use of technology in the classroom is emphasized by this study