Exploring Relationships between Data SetsUp to this point the focus has been on describing and comparing individual data sets using frequency tables, graphics, such as bar charts and histograms, and summary statistics, such as measures of central tendency and dispersion. Sets of data are often related. For example, is there a relationship between a person’s shoe size and their height?  There are two primary tools used to explore possible relationships between data sets.CorrelationRegressionCorrelation is the degree to which two quantitative variables are related. It is measured using a 3-part test.Creating and examining a scatterplotCalculating the Pearson coefficient of correlation,  Determining if the coefficient of correlation is significant using the critical levels of  Regression is determining the line that best fits the points on the scatterplotIdentifying the dependent and independent variablesFinding the slope of the best fit lineFinding the -intercept of the best fit lineLaying the best fit line on the scatterplotMaking predictions