Complex Correlation: The value of the dependent variable seems to be related to the independent variable.Ĭorrelation can be identified when there is a cause-and-effect relationship between two parameters.Weak Negative Correction: The value of the dependent variable decreases slightly as the value of the independent variable increases.Strong Negative Correlation: The dependent variable’s value decreases as the independent variable’s value increases.Weak Positive Correlation: The value of the dependent variable increases slightly as the value of the independent variable increases.Strong Positive Correlation: The value of the dependent variable clearly increases as the value of independence increases.The positive and negative correlation can be further categorized like: For example, attempting to find a correlation between the number of vacations sanctioned to a team member and their height would be baseless. No correlation: In this case, the two variables have no natural pattern or relationship, and the observations are scattered randomly on the chart.So, for example, the number of farm workers in the country has reduced over the years. It is because the dependent variable’s value decreases if the independent variable’s value increases. Negative correlation: In this case, the pattern of observations slants from the upper left to the lower right of the chart.For example, a team member’s productivity tends to increase with their experience. When the independent variable’s value increases, the dependent variable’s value also increases. Positive correlation: In this case, the pattern of observations slants from the lower left to the upper right of the chart.There are three types of correlation in a Scatter Diagram: These resources offer in-depth insights into each tool, its purpose, and effective utilization in project management. Cause and Effect Diagram- Fishbone Diagram Analysis.Flowchart as an Integral Component of Seven Basic Quality Tools.Control Chart as a Component of Seven Basic Quality Tool.Pareto Chart – An Effective Graphical Tool to Resolve Problems.Check Sheet as a Component of Seven Basic Quality Tool.Histogram As A Component Of Seven Basic Quality Tool.To gain more information and insights about these tools, you can refer to a series of informative blog posts. The main objective in this scenario is to demonstrate any degree of correlation between the two variables.Īpart from Scatter Diagrams, there are other quality tools available for project managers to explore. In such cases, either type of parameter can be plotted on either axis. It can be created using two variables even if there is no control parameter. In a Scatter Diagram, the independent variable is plotted on the horizontal axis, while the dependent variable is plotted on the vertical axis. The variable influencing the other variable is referred to as an independent or control parameter. This tool is typically utilized when Quality Control identifies a variable that is not in control but systematically changing alongside another variable. In the context of the Project Management Professional (PMP) exam, a Scatter Diagram can be defined as –Ī correlation graph chart uses a regression line to explain or to predict how the change in an independent variable will change a dependent variable.Ĭorrelation, which is represented by a regression line, can be positive or negative. By observing the correlations between these variables, project managers can identify influential factors that require control for quality improvement. It displays the changes in a dependent variable alongside changes in the independent variable. A scatter diagram in the PMP exam is a quality tool that aids project managers in analyzing and comprehending the relationship between two variables.
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