The significance of the scatter plot is when X and Y are collected: (x1, y1), (x2, y2),... and (xn, yn). Each pair of Numbers (xi, yi) is marked on the coordinate plane. From the scatter diagram, we can observe the overall pattern and correlation of data distribution.
The correlation between two data, X and Y, is observed from the scatter graph. When the value of one data is higher than the average, the amount of the other data tends to be higher than the average. When the amount of one data is lower than the norm, the value of the other data tends to be smaller than the average, then the data X and Y are said to be
positively correlated.
The sample points will be inclined from the bottom left to the top right. If the value of one data is higher than the average, the value of the other data tends to be lower than the average. If the value of one data is lower than the norm, and the value of the other data tends to be higher than the average, the data X and Y are said to be
negatively correlated. The sample points will be inclined from the top left to bottom right.
I think the scatter graph shows the direction, pattern, and intensity of the correlation between two data sets. The linear relationship is especially important because it is the purest form, but the light of the eye does not quickly determine the intensity of the correlation. If the dispersion diagram shows a strong linear correlation between two numerical data,
a line can be drawn in the dispersion diagram to give an overview of the direct relationship. The least-square method is a way of finding such a line, which is called the optimal line or the regression line.
When we have a lot of scatter graphs, to make it easier to distinguish,
we can use different colors to identify each picture. Using color to determine the graph has the advantage of giving a quick idea of the strength of each graph.
I think the scatter graph shows the direction, pattern, and intensity of the correlation between two data sets. The linear relationship is especially important because it is the purest form, but the light of the eye does not quickly determine the intensity of the correlation. If the dispersion diagram shows a strong linear correlation between two numerical data, a line can be drawn in the dispersion diagram to give an overview of the direct relationship. The least-square method is a way of finding such a line, which is called the optimal line or the regression line.
When we have a lot of scatter graphs, to make it easier to distinguish, we can use different colors to identify each picture. Using color to determine the graph has the advantage of giving a quick idea of the strength of each graph.
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