Correlations are used to describe the strength and direction of a relationship between two variables. A correlation between two variables is known as a bivariate correlation. In this module, the Pearson Product-Moment Correlation will be used when running a correlation matrix. The Pearson correlation coefficient ranges from a value of –1.0 to 1.0. A correlation coefficient is never above 1.0 or below –1.0. A perfect positive correlation is 1.0, and a perfect negative correlation is –1.0. The size of the coefficient determines the strength of the relationship and the sign (i.e., + or –) determines the direction of the relationship. The closer the value is to zero, the weaker the relationship, and the closer the value is to 1.0 or –1.0, the stronger the relationship. A correlation coefficient of zero indicates no relationship between the variables.
Correlations are used to describe the strength and direction of a relationship between two variables. A correlation between two variables is known as a bivariate correlation. In this module, the Pearson Product-Moment Correlation will be used when running a correlation…