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  1. In this How-To Guide we will cover the basics of correlation as well as provide examples of how correlation is used in academic research. What is a Correlation? A correlation can be defined as the …

  2. Jun 9, 2012 · It is useful to draw a scatter plot as an important pre-requisite to any correlation analysis as it helps eyeball the data for outliers, non-linear relationships and heteroscedasticity

  3. To calculate a correlation coefficient, you normally need three different sums of squares (SS). The sum of squares for variable X, the sum of square for variable Y, and the sum of the cross-product of XY.

  4. The cor() function is used to calculate the Pearson correlation coefficient in R. To test the significance of the correlation, the cor.test() function is used (Loftus, 2021). We use the symbol r to stand for the …

  5. Know how to perform a correlation analysis and calculate the coefficient of linear correlation (r). Understand how a correlation analysis can be used in a blackbelt story.

  6. The important methods of measuring correlation are (i) Scatter Plot (ii) Karl Pearson’s coefficient of correlation; and (iii) Spearman’s Rank-correlation coefficient;

  7. When describing the correlation between two continuous variables, Pearson’s r is used } This index quantifies the degree (and direction) of the linear trend in the data } The sign of r (+ or -) gives the …