
The correlation is a statistical technique used to indicate the degree of relationship between two covariates. 
The correlation is not a research method, but a research technique. It endeavours to
find relationships between two covariates, or independent behaviours, situations, or events. A correlation can be
positive or negative. A positive correlation means that there is a positive relationship between the two independent
covariates, and that as one increases, so does the other. A negative correlation means that there is a negative
relationship between the two independent covariates, where here an increase in one covariate is related to a decrease
in the other. The degree of relationship can be illustrated using a descriptive statistic called a scattergram. The
scattergrams trend line illustrates the strength, direction, and degree of positive or negative correlation. It may
also indicate no correlation at all. The strength of correlation can be further tested using an inferential statistic
called a correlation coefficient.
Using the likes of Spearman's rho, the nearer rho is to +1, the more positive the
relationship is said to be, while the nearer rho is to 1, the more negative the relationship between the
covariates is said to be. A rho of near 0 indicates no relationship between the covariates. The correlational
technique is useful in situations where an experiment would be unethical or impractical. This can help decide
whether a more rigorous scientific investigation into the apparent relationship is justified. This is enhanced
by the correlational technique's ability to produce quantifiable data in the form of a coefficient. However,
even with a coefficient be wary of correlations. Read Approaches and Methods to find out about the Maharishi Effect! Correlations can only infer a
positive or negative relationship between its covariates. No causeeffect conclusions can be reached. This is
the province of the experimental method.
What type of correlation do you think this is? Why is this the case?
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