Calculate Mean Squared Error By Hand

Introduction & Importance

Mean Squared Error (MSE) is a widely used measure of the average squared difference between the estimated values and the actual value. It’s crucial in regression analysis to evaluate the performance of an estimation. Calculating MSE by hand helps understand the underlying mathematics and improves intuition.