variance explanation

Variance explanation refers to how well a statistical model or factor accounts for the differences observed in a set of data. Imagine measuring people's heights, which vary naturally. If a model explains a large portion of this variation, it means the factors included in the model (like age or genetics) help us understand why heights differ. Conversely, if it explains little, other factors might be influencing the variation. In essence, variance explanation shows the strength of the relationship between the factors considered and the data's differences, helping us gauge how well our model captures the true underlying patterns.