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* '''[[w:Pearson product-moment correlation coefficient|Pearson product-moment correlation coefficient]]''' (sometimes referred to as the '''PPMCC''' or '''PCC''' or '''Pearson's ''r''''') is a measure of the linear [[w:correlation|correlation]] (dependence) between two variables ''X'' and ''Y'', giving a value between +1 and −1 inclusive, where 1 is total positive correlation, 0 is no correlation, and −1 is total negative correlation. It is widely used in the sciences as a measure of the degree of linear dependence between two variables. ( Wikipedia ) | * '''[[w:Pearson product-moment correlation coefficient|Pearson product-moment correlation coefficient]]''' (sometimes referred to as the '''PPMCC''' or '''PCC''' or '''Pearson's ''r''''') is a measure of the linear [[w:correlation|correlation]] (dependence) between two variables ''X'' and ''Y'', giving a value between +1 and −1 inclusive, where 1 is total positive correlation, 0 is no correlation, and −1 is total negative correlation. It is widely used in the sciences as a measure of the degree of linear dependence between two variables. ( Wikipedia ) | ||
* '''[[w:Regression analysis|Regression analysis]]''' is a statistical process for estimating the relationships among variables. It includes many techniques for modeling and analyzing several variables, when the focus is on the relationship between a [[w:dependent variable|dependent variable]] and one or more [[w:independent variable|independent variable]]s. ( Wikipedia ) | * '''[[w:Regression analysis|Regression analysis]]''' is a statistical process for estimating the relationships among variables. It includes many techniques for modeling and analyzing several variables, when the focus is on the relationship between a [[w:dependent variable|dependent variable]] and one or more [[w:independent variable|independent variable]]s. ( Wikipedia ) |