The p-value or "statistical significance" of a result is the probability that the observed relationship between variables in a sample occurred by pure chance. As stated in the article, this means there is a less than one-in-10,000 probability of getting these same results if no correlation existed. Another statistical concept in the study was the use of a scatterplot to represent the data. A scatterplot is a summary of a set of bivariate data (two variables), usually created before calculating the linear correlation coefficient or fitting a regression line. The use of the scatterplot in this research study was to give a better visual picture of the relationship between the two variables and aid in the interpretation of the correlation
The p-value or "statistical significance" of a result is the probability that the observed relationship between variables in a sample occurred by pure chance. As stated in the article, this means there is a less than one-in-10,000 probability of getting these same results if no correlation existed. Another statistical concept in the study was the use of a scatterplot to represent the data. A scatterplot is a summary of a set of bivariate data (two variables), usually created before calculating the linear correlation coefficient or fitting a regression line. The use of the scatterplot in this research study was to give a better visual picture of the relationship between the two variables and aid in the interpretation of the correlation