# Scree plot

## Diagnostic plot / From Wikipedia, the free encyclopedia

#### Dear Wikiwand AI, let's keep it short by simply answering these key questions:

Can you list the top facts and stats about Scree plot?

Summarize this article for a 10 year old

In multivariate statistics, a **scree plot** is a line plot of the eigenvalues of factors or principal components in an analysis.^{[1]} The scree plot is used to determine the number of factors to retain in an exploratory factor analysis (FA) or principal components to keep in a principal component analysis (PCA). The procedure of finding statistically significant factors or components using a scree plot is also known as a **scree test**. Raymond B. Cattell introduced the scree plot in 1966.^{[2]}

A scree plot always displays the eigenvalues in a downward curve, ordering the eigenvalues from largest to smallest. According to the scree test, the "elbow" of the graph where the eigenvalues seem to level off is found and factors or components to the left of this point should be retained as significant.^{[3]}