Pearson s correlation

    • [DOC File]UNDERSTANDING THE PEARSON CORRELATION …

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      Understanding the Pearson Correlation Coefficient (r) 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).

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    • [DOC File]Correlation and Simple Regression

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      Pearson’s Product-Moment Correlation Coefficient. a) a measure of the direction and magnitude of the linear association of two interval/ratio scale variables that ranges from negative 1 (a perfect negative relationship) to positive 1 (a perfect positive relationship, with 0 indicating no relationship).

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    • [DOC File]Spearman’s correlation

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      Spearman’s correlation for this data however is 1, reflecting the perfect monotonic relationship. Spearman’s correlation works by calculating Pearson’s correlation on the ranked values of this data. Ranking (from low to high) is obtained by assigning a rank …

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    • [DOC File]Correlation Analysis for USCM8 CERs

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      Pearson's correlation coefficient between two sets of numbers is a measure of the linear association between these two sets. It measures the degree to which two sets of data move together in a linear manner. A high positive correlation indicates a strong direct linear movement and a high negative correlation represents a strong inverse ...

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    • [DOC File]Example 18 - Yola

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      Compute the coefficient of correlation assuming 49 and 140 as the assumed means of age and pressure respectively. 15. Calculate Karl Pearson’s coefficient of correlation between expenditure on advertising (Rs. 000) and seles (lakh Rs.) from the data given below. Adv. Expenses 39 65 62 90 82 75 25 98 36 78 Sales 47 53 58 86 62 68 60 91 51 84 16.

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    • [DOCX File]Chapter Seven: Correlation and Regression - SSRIC

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      The Pearson’s correlation matrix should look like the one in Figure 7–4. The cells of the table show the Pearson’s r correlation between each variable and each other variable, the level of statistical significance of the relationship (that is, the likelihood that it could have occurred by chance), and the number of cases on which the ...

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