The study analyzed electricity generation in Nigeria using two statistical models based on rainfall and temperature data from 2002 to 2014. The models used were multiple linear regression and Box-Jenkins’ autoregressive model of order 1. Rainfall was found to have a significant positive relationship with power generation, while temperature did not significantly affect it. The multiple linear regression model was chosen as the best model, with a high coefficient of determination (r^2=99.77%) and low Root Mean Square Error (60.27%).