Multivariate statistical analysis is important when studying multiple outcome variables. It gives a more accurate picture of real-life situations compared to looking at one variable at a time. By using multivariate methods, researchers can avoid common errors in statistical analysis and see different results than with single-variable analysis. This approach helps to understand the relationship between different variables and can provide valuable insights for studies involving multiple factors.