In my opinion, it is true that changes in variables are always the factors that determine what type of and nbsp where the statement is created. This for the reason that two or else more variables are regarded as related to the statistical background in case their values change for the cost of one variable to augment or reduce. This means that the value of the other variable will as well increase or decrease despite the fact that it might be in the opposite direction. For instance, in case there are two variables including hours worked along with income earned, there is an association in both in case the augment in hours worked is linked with an increase in income earned (Patton, 2014). The statistical measure that determines changes in variables describe the size as well as the direction of a c
...onnection between more variables though it does not routinely mean that the alteration in one variable is the cause of the change in the values of the other variable.
Hypothetically, the distinction in the midst of two types of relationships is simple to recognize. This would include an action that can lead to another. For instance, smoking is known to lead to an increase in the risk of being a victim of lung cancer. In a similar way, smoking is associated with alcoholism despite the fact that it does not lead to alcoholism. In application, however, it remains hard to establish the basis and effect clearly as contrasted with establishing the connection (Patton, 2014).
For these reasons, it is accurate to conclude that changes in variables are always the factor that determines what type of a
well as nbsp where the statement is created. For different variables, a statistical relationship is measured by application of correlation coefficients which illustrates the extent of correlation in the midst of variables
Reference
- Patton, M. Q. (2014). Qualitative Research & Evaluation Methods: Integrating Theory and Practice.
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