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Category: Mathematics Essay

Subcategory: Mathematics for Computer Science

Words: 462

Pages: 2

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Document details

Category: Mathematics Essay

Subcategory: Mathematics for Computer Science

Words: 462

Pages: 2

Correlation as a measure of association refers to a research method that involves doing tests to establish whether a relationship exists between two variables. This method specifies the strength of the association and whether it is a direct or inverse relationship. This summary discusses the various methods of establishing a correlation between variables and their examples. Scatter diagrams, Pearsons coefficient of correlation and Spearmans rank correlation coefficient are the widely used methods of establishing a relationship between variables (Association between Variables, n.d.). A scatter diagram displays the values of two variables (dependent and independent) and the relationship between them. The horizontal axis depicts the values of one variable, and the vertical axis contains the values of the other. For instance, a scatter plot can be drawn to show the relationship between the entry ages of individuals into the labor force and their years of education. Scatter diagram gives a clear view of the relationships between two variables. However, establishing the nature of the relationship between the diagram is quite difficult and drawing on the diagram consumes a lot of time where there is the involvement of many observations (Association between Variables, n.d.). A researcher can employ this method before establishing the value of the coefficient of correlation provided few observations are in place.The Pearsons coefficient of correlation provides a measurement of the linear and progressive relationships between two variables. In the case where a scatter diagram was drawn to show the relationship between the entry ages of individuals into the labor force and their years of education the plot failed to give a definite relationship of the variables involved. Therefore, a Pearsons coefficient of correlation would come in handy to assist in specifying the extent of the relationship (Clark, 2013). A positive relationship exists between the variables if the correlation coefficient is above zero and a negative relationship when it is below zero. It is used when there are numerous values for a given...

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