bivariate normal distribution

The bivariate normal distribution describes the relationship between two continuous variables that follow a normal distribution, forming a two-dimensional, bell-shaped curve. This means that if you plot the values of both variables on a graph, most points will cluster around an average value, with fewer points appearing as you move away from the center. It’s useful for understanding how two related factors, like height and weight, vary together, often showing a pattern where higher values of one variable correlate with higher values of the other.