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What (who) is scatter coefficient - definition
PLOT USING THE DISPERSAL OF SCATTERED DOTS TO SHOW THE RELATIONSHIP BETWEEN VARIABLES
Scatter graph; Scatter diagram; Scatter chart; Scattergram; Scatter plots; Scatterplot; Scatter-plot; Scatterplots; Scatter charts
scatter diagram
(also scatter plot or scattergram)
¦ noun Statistics a graph in which the values of two variables are plotted along two axes, the pattern of the resulting points revealing any correlation present.
Attenuation coefficient
MEASURE FOR THE EXPONENTIAL REDUCTION OF A QUANTITY ALONG A PATH DUE TO ABSORPTION AND SCATTERING
Absorption coefficient; Absorption Coefficient; Linear attenuation coefficient; Linear coefficient; Linear absorption coefficient; Narrow beam attenuation coefficient; Scattering coefficient
The linear attenuation coefficient, attenuation coefficient, or narrow-beam attenuation coefficient characterizes how easily a volume of material can be penetrated by a beam of light, sound, particles, or other energy or matter. A coefficient value that is large represents a beam becoming 'attenuated' as it passes through a given medium, while a small value represents that the medium had little effect on loss.
Pearson correlation coefficient
![prediction interval]] for ''Y'' may be reduced given the corresponding value of ''X''. For example, if ''ρ'' = 0.5, then the 95% prediction interval of ''Y''|''X'' will be about 13% smaller than the 95% prediction interval of ''Y''.](https://commons.wikimedia.org/wiki/Special:FilePath/Pearson correlation and prediction intervals.svg?width=200 "prediction interval]] for ''Y'' may be reduced given the corresponding value of ''X''. For example, if ''ρ'' = 0.5, then the 95% prediction interval of ''Y''|''X'' will be about 13% smaller than the 95% prediction interval of ''Y''.")
TYPE OF COEFFICIENT
Pearson r; Pearsonr; Pearson's correlation coefficient; Pearson's r; Pearson's correlation; Product-moment correlation coefficient; Pearson product moment correlation coefficient; Product moment correlation coefficient; Pearson coefficient; Bivariate correlation; Pearson’s correlation coefficient; Pearson's product; Pearson product-moment correlation; Pearson product-moment; Product-moment correlation; Pearson Product Moment Correlation Coefficient; Pearson's coefficient of correlation; Pearson product–moment correlation coefficient; PPMCC; Pearson product-moment correlation coefficient; Pearson correlation; Pearson’s Correlation Coefficient; Pearson's linear correlation coefficient; Circular correlation coefficient; Pearson's product-moment correlation
In statistics, the Pearson correlation coefficient (PCC, pronounced ) ― also known as Pearson's r, the Pearson product-moment correlation coefficient (PPMCC), the bivariate correlation, or colloquially simply as the correlation coefficient ― is a measure of linear correlation between two sets of data. It is the ratio between the covariance of two variables and the product of their standard deviations; thus, it is essentially a normalized measurement of the covariance, such that the result always has a value between −1 and 1.
Wikipedia
Scatter plot
A scatter plot (also called a scatterplot, scatter graph, scatter chart, scattergram, or scatter diagram) is a type of plot or mathematical diagram using Cartesian coordinates to display values for typically two variables for a set of data. If the points are coded (color/shape/size), one additional variable can be displayed. The data are displayed as a collection of points, each having the value of one variable determining the position on the horizontal axis and the value of the other variable determining the position on the vertical axis.
