Strong negative correlation

This scatter graph sample shows the strong negative correlation. It was designed on the base of the Wikimedia Commons file: Scatter plot showing strong negative correlation. 02.jpg.
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This file is licensed under the Creative Commons Attribution-Share Alike 4.0 International license. [creativecommons.org/ licenses/ by-sa/ 4.0/ deed.en]
"A scatter plot can suggest various kinds of correlations between variables with a certain confidence interval. For example, weight and height, weight would be on y axis and height would be on the x axis. Correlations may be positive (rising), negative (falling), or null (uncorrelated). If the pattern of dots slopes from lower left to upper right, it indicates a positive correlation between the variables being studied. If the pattern of dots slopes from upper left to lower right, it indicates a negative correlation." [Scatter plot. Wikipedia]
The scatter plot example "Strong negative correlation" was created using ConceptDraw PRO software extended with the Scatter Diagrams solution from the Statistical Charts and Diagrams area of ConceptDraw Solution Park.

This house of quality sample illustrates correlation matrix.
It was designed on the base of the figure 3-5 in Lecture "How QFD helps in product quality improvement?" from the website of National Programme on Technology Enhanced Learning (NPTEL), India. [nptel.ac.in/ courses/ 110101010/ downloads/ mod3/ Module%20 III-Lec1.pdf]
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"After drafting the relationship matrix, it is evaluated for any empty row or column. An empty row indicates that a customer voice is not being addressed by any technical descriptors. Thus, the customer expectation is not being met. Any blank column indicates that the technical requirement is unnecessary, as it does not address any VOC.
The roof of the house of quality, expressed as correlation matrix, is used to identify any interrelationships between the technical descriptors (Figure 3-5). Symbols are used to describe the strength of the interrelationships. Symbols generally preferred are:
- A ‘solid circle’ represents a strong positive relationship.
- A ‘circle’ represents a positive relationship.
- An ‘X’ represents a negative relationship.
- An ‘asterisk’ represents a strong negative relationship." [nptel.ac.in/ courses/ 110101010/ modules/ module3/ lec1/ 1.7.html]
The HOQ example "House of Quality - correlation matrix" was designed using ConceptDraw PRO software extended with House of Quality solution from Quality area of ConceptDraw PRO Solution Park.

This scatter graph sample shows the correlation of widget price and number of widgets purchased.
"Correlation.
Correlation measures the strength of association between two variables. We will first consider the relationship between two scalar variables and then between ranked variables.
Pearson correlation coefficient.
Pearson's R indicates the strength and direction of association between two scalar variables, ranging from -1 which indicates a strong inverse relationship and 1 indicating a strong direct relationship. At 0 we say there is no correlation; it measures the linear dependence of one variable on another. Linear dependence means that one variable can be computed from the other by a linear equation ...
An inverse correlation.
In the following data we see that as the number of widgets rises, the price per 100 widgets falls. This is an inverse correlation and has a negative value for Pearson's R. ...
For this data the correlation coefficient has a value of -1." [en.wikibooks.org/ wiki/ Statistics_ Ground_ Zero/ Association]
The scatter chart example "Widget price correlation" was created using the ConceptDraw PRO diagramming and vector drawing software extended with the Basic Scatter Diagrams solution from the Graphs and Charts area of ConceptDraw Solution Park.