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[DOC File]Psy 22 - Furman University
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Pearson Product Moment Correlation Coefficient (r): Measures extent to which two continuous variables vary together (“co-vary”). Can identify LINEAR relationships only. Conceptual Formula: rxy = (ZxZy. N. Why would the product of the Z-scores determine how much two variables co-vary? Example:
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[DOC File]UNDERSTANDING THE PEARSON CORRELATION …
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The Pearson product-moment correlation coefficient (r) assesses the degree that quantitative variables are linearly related in a sample. Each individual or case must have scores on two quantitative variables (i.e., continuous variables measured on the interval or ratio scales). The significance test for r evaluates whether there is a linear ...
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[DOC File]Correlation - Weebly
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Pearson’s Product-Moment Correlation Coefficient. Also called Correlation Coefficient or ‘ r ’. This is a more precise tool. In summary it is a measure of the tendency of data to lie on a straight line. The value of ‘r’ ranges from -1 to 1 i.e. -1 ≤ r ≤ 1. Following are examples of scatterplots:
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[DOC File]1 - John Uebersax
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Pearson r. There is a simple and straightforward way to measure correlation between two variables. It is called the Pearson correlation coefficient (r) – named after Karl Pearson who invented it. It's longer name, the Pearson product-moment correlation, is sometimes used. The formula for computing the Pearson r is as follows:
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[DOCX File]Types of Correlations
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Correlation & Regression. These are critical values for a one-tail r-test using the Pearson Product Moment Correlation Coefficient. Types of Correlations. What type of correlation best describes each of the following relationships? +positive —negative. 0no correlation (It is possible more than one answer could be correct.)
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Calculate pearson product moment correlation