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Istation has defined a five-level normative grouping based on indices spaced equally across all performance levels.
The closer the number in a matrix cell is to 1, the stronger a positive relationship is of the two associated variables, while a number closer to -1 shows a stronger negative relationship. A number closer to 0 shows a weaker correlation between the two variables.
A correlation matrix is a table that displays the correlation between multiple variables. Its like a cheat sheet that shows us how closely related different variables are. In a correlation matrix, each variable is represented by a row and a column, and the cells show the correlation between them.
A correlation chart is one of the best ways to show the correlation between multiple variables or data points without sacrificing considerable space in your dashboard or report. Youve probably seen it in Microsoft Excel, but its also used in modern business intelligence tools to illustrate correlation and causation.
This correlation chart illustrates how Learning AZ levels approximately correlate to other leveling systems commonly found in leveled reading materials. Learning AZ uses objective (quantitative) and subjective (qualitative) Leveling Criteria to measure text complexity.
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The correlation coefficient (r) also illustrates our scatterplot. It tells us, in numerical terms, how close the points mapped in the scatterplot come to a linear relationship. Stronger relationships, or bigger r values, mean relationships where the points are very close to the line which weve fit to the data.
A scatterplot is a graph of data points that might follow a pattern or might not; this pattern is called a correlation or relationship between the variables (x and y, or whatever the variables in the scenario are). The two qualities of a correlation are strength and direction.

istation reading level correlation chart