Scatter Plots Scatter Plots In mathematics we have so any techniques to plot two quantities or to represent two quantities in a plane to get a graph. Out of them here we are going to discuss one type of plot called scatter plot or also called scatter graph. Scatter plot is a mathematical diagram representation for a set of data using Cartesian coordinates and is used to display various values of two variables. In the Scatter Plot we represent data as a group or collection of points, and each point has its own value for one of the two variables which determines the position on the horizontal axis and the value of the other variable determines the position on the other axis: vertical axis. We also call this type of plot as scatter chart, scatter diagram, scatter graph or scatter gram. Scatter plot has many powerful aspects but one of them is most important and it is its ability which can show non-linear relationships between two variables. As in every area of technology people want to have a better quality representation so that the errors are less. Scatter plot or scatter diagram has control over quality and it is one of the seven basic tools which have such a control.
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Correlation is defined as the relationship between the two variables. Scatter plot plays a part where it correlates between two variables in the presence of boundations. If we take an example of voltage and current, where voltage will be on the y axis and current will be on the x axis. The scatter plot can be positive or you can say rising, negative or you can say falling or none (which means uncorrelated). A positive scatter plot between two variables is when pattern of points slopes or goes from lower left to the upper side of right and a negative or falling scatter plot is studied when the pattern of the points is going or sloping from the upper left of the graph to the lower right of the graph. Scatter plot plays a very important and useful role when we need to check the level of agreement between the two comparable data sets. For this particular role of scatter plot we take an line with no intercept or an identity (1:1) line which means y = x line as a reference line to check. It checks the level of agreement between two data sets as more the two data sets agree more the scatter plot tends to concentrate the data points in the vicinity of the reference line. And if all the data points on the scatter plot coincide with the reference line exactly then the two data sets are identical numerically. Scatter plot is mainly used to see how much one of the variable is affected by the other variable. In case of scatter plot we usually include a straight line which has a best fit which means it uses least amount of square methods in the case.
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But one thing should be noted that in statistics “correlation does not mean causality� which means that even if the scatter plot shows some kind of a relationship between two variables but it does not mean or prove that one quantity is affecting the other quantity, there must be some other third factor which is causing both the quantities.
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