The study aimed at examining the relationship between poverty and early marriages among school going girls with a case study of kimanya sub county and it was guided by the following objectives; To assess the different causes of early marriages in communities, to identify ways how early marriages’, affect girl Child education and to identify ways how early marriages’ can be abolished in communities. From the findings, these coefficients represented the estimated effect of each predictor variable on the dependent variable (poverty) while holding other variables constant. In this case, the constant term was 2.562, indicating the estimated poverty level when early marriages are zero. The coefficient for early marriages was 0.529, suggesting that for each unit increase in early marriages, poverty is estimated to increase by 0.529. These coefficients represented the standardized effect of each predictor variable on the dependent variable. They allowed for a comparison of the relative importance of different predictors. The standardized coefficient for early marriages was 0.812, indicating that early marriages have a strong positive influence on poverty, as higher standardized coefficients indicate stronger relationships. The tvalue measured the strength of the relationship between the predictor variable and the dependent variable, taking into account the sample size and variability. A higher absolute t-value suggests a stronger relationship. In this case, the t-value for early marriages was 9.688, indicating a statistically significant relationship with poverty The researcher also recommended the parents to always send their children back to school whenever they get involved in early marriages.