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[DOC File]Rule of Thumb for Interpreting the Size of a Correlation ...
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Rule of Thumb for Interpreting the Size of a Correlation Coefficient Size of Correlation Interpretation .90 to 1.00 (-.90 to –1.00) Very high positive (negative) correlation .70 to .90 (-.70 to -.90) High positive (negative) correlation .50 to .70 (-.50 to -.70) Moderate positive (negative) correlation .30 to .50 (-.30 to -.50) Low positive (negative) correlation .00 to .30 (.00 to -.30 ...
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[DOCX File]Correlation Exercise - StFX
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Correlation Exercise.xls. from my webpage and save it to your H: drive. In Excel, click on the . DATA . 14. tab and: Plot the squat and jump data using a scatter plot. Determine the Pearson’s correlation coefficient for the data. Determine the level of significance. Explain the meaning of your results.
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[DOC File]Correlation - Radford
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If your correlation coefficient is a larger negative number than the critical region, your data indicate a significant negative correlation. The closer your r-value is to —1.0, the stronger the negative correlation. REPORTING YOUR RESULTS. The examples below show how the results of your analysis of linear correlation should be presented. “There is a positive correlation between the height ...
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[DOC File]Spatial Correlation - Purdue University
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Moran’s I is similar but not equivalent to a correlation coefficient. It varies from -1 to +1. In the absence of autocorrelation and regardless of the specified weight matrix, the expectation of Moran’s I statistic is , which tends to zero as the sample size increases. For a row-standardized spatial weight matrix, the normalizing factor equals (since each row sums to 1), and the statistic ...
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[DOC File]UNDERSTANDING THE PEARSON CORRELATION COEFFICIENT (r)
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The appropriate correlation coefficient depends on the scales of measurement of the two variables being correlated. There are two assumptions underlying the significance test associated with a Pearson correlation coefficient between two variables. Assumption 1: The variables are bivariately normally distributed. If the variables are bivariately normally distributed, each variable is normally ...
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[DOC File]CHAPTER 11—REGRESSION/CORRELATION
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Defn: Coefficient of Correlation, r, = sign is determined by the slope Correlation measure has no interpretative meaning in regression. NOTES AND COMMENTS. 1. r is always between -1 and 1. 2. r = ± 1 implies a “perfect” positive or negative fit of the observed data to a line. That is, all the points fall perfectly on a line of positive or negative slope. In general, the closer r is to ± ...
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[DOC File]1
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1. The Pearson Correlation Coefficient. Correlation. In statistics, the word "correlation" has a very specific meaning. Statistical correlation means that, given two variables X and Y measured for each case in a sample, variation in X corresponds (or does not correspond) to variation in Y, and vice versa. That is, extreme values of X are associated with extreme values of Y, and less extreme X ...
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Correlation coefficient 1 meaning