STAT 210 Lecture Notes - Lecture 3: Scatter Plot, Scientific Control, Multiple Correlation
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Correlation: refers to the extent to which two variables are related across a group of participants. In a direct, or positive, relationship, those who score high on one variable tend to score high on the other, and those who score low on one variable tend to score low on the other. In an inverse, or negative, relationship, those who score high on one variable tend to score low on the other. Establishing a correlation does not necessarily establish a causal relationship. In order to study cause and effect, a controlled experiment is needed in which different treatments are administered to the participants. Full name is the pearson product-moment correlation coefficient. Can range only from -1. 00 to 1. 00. 1. 00 indicates a perfect inverse relationship, which is the strongest possible inverse relationship. 1. 00 indicates a perfect direct relationship, which is the strongest possible direct relationship. 0. 00 indicates the complete absence of a relationship.