Statistics correlation definition

    • [DOC File]Advanced Excel - Statistical functions & formulae

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      Recall that the R-squared value is the square of the correlation coefficient. (Most statistical texts show the correlation coefficient as "r", but Excel shows the coefficient as "R". Whether you write is as r or R, the correlation coefficient gives us a measure of the reliability of the linear relationship between the x …

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    • [DOC File]Regression Analysis: t90 versus t50

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      Correlation and Regression. Correlation and regression is used to explore the relationship between two or more variables. The correlation coefficient r is a measure of the linear relationship between two variables paired variables x and y.. For data, it is a statistic calculated using the formula. r = The correlation coefficient is such -1 ...

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    • [DOC File]633 Correlation – causal-comparative – quasi-experimental ...

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      633 Correlation – causal-comparative – quasi-experimental – experimental designs Note: Quotations from Burke Johnson's (2000) article "An important difference between causal-comparative and correlational research is that causal-comparative studies involve two or more

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    • [DOC File]Statistics 410: Regression

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      Correlation and Regression: Basic Concepts & Ideas. This introduction follows chapters 8-12 from the introductory statistics book, Statistics, Third edition (1998, Norton), by Freedman, Pisani, and Purves. It is arguably the best introduction to simple linear regression, without calculus or linear algebra.

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    • [DOC File]VALIDITY AND RELIABILITY - Department of Statistics

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      (rank correlation and product-moment correlation) According to Cronbach, to the question “what is a good validity coefficient?” the only sensible answer is “the best you can get”, and it is unusual for a validity coefficient to rise above 0.60, though that is far from perfect prediction.

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    • [DOC File]Cohen's Small, Medium, Large

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      In terms of a correlation coefficient, the size of the observed effect was r = .034. In terms of percentage of variance explained, that is 0.12%. In other contexts this might be considered a trivial effect, but it this context it was so large an effect that the researchers decided it was unethical to continue the study and the contacted all of ...

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    • [DOC File]Spatial Correlation

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      Definition. Observations made at different locations may not be independent. For example, measurements made at nearby locations may be closer in value than measurements made at locations farther apart. This phenomenon is called spatial autocorrelation. Spatial autocorrelation measures the correlation of a variable with itself through space.

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    • [DOC File]MULTIPLE REGRESSION AND CORRELATION

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      where R2Y indicates the multiple correlation using all k predictor variables, and R2(j) indicates the multiple correlation predicting variable Xj using all of the remaining (k-1) predictor variables. The term R2(j) is an index of the redundancy of variable Xj with the other predictors, and is a …

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    • [DOC File]What is meant by 'statistical power' and what is the ...

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      Statistical power is the ability to correctly retain the null. The more statistical power, the less likely there is to be a type II error, or a miss. There are two types of power analyses: a priori and post hoc. An a priori power analysis is done before the data is collected.

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    • [DOC File]Correlation Analysis for Weight Variables in the USCM8 ...

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      Since Pearson's correlation coefficient is a more appropriate measure than Spearman’s rank order correlation when summing random variables in risk modeling (see Reference 3), we will concentrate on this correlation measure. By definition, Pearson's correlation coefficient (Pearson’s r) calculated between two sets of numbers {xi} and {yi} is ...

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