# What is variance accounted for?

**Explained variance**(also called

**explained**variation) is used to measure the discrepancy between a model and actual data. In other words, it's the part of the model's total

**variance**that is

**explained**by factors that are actually present and isn't due to error

**variance**.

In respect to this, what percentage of variance is accounted for?

“**Proportion of variance**” is a generic term to mean a part of **variance** as a whole. For example, the total **variance** in any system is 100%, but there might be many different causes for the total **variance** — each of which have their own **proportion** associated with them.

Also Know, what does variance mean in regression? **variance**—in terms of linear **regression**, **variance** is a measure of how far observed values differ from the average of predicted values, i.e., their difference from the predicted value **mean**.

Regarding this, what is a variance?

**Variance** (σ^{2}) in statistics is a measurement of the spread between numbers in a data set. That is, it measures how far each number in the set is from the mean and therefore from every other number in the set.

What does total variance mean?

**Total Variance** Explained. The **Total** column gives the eigenvalue, or amount of **variance** in the original variables accounted for by each component. The % of **Variance** column gives the ratio, expressed as a percentage, of the **variance** accounted for by each component to the **total variance** in all of the variables.