Weak correlation coefficient

    • [DOC File]S.ID.C.8.CorrelationCoefficient.doc - JMAP

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      1) The closer the absolute value of the correlation coefficient is to one, the closer the data conform to a line. 3) A negative correlation coefficient indicates that there is a weak relationship between two variables. 2) A correlation coefficient measures the strength …

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    • [DOC File]STATISTICS 302:504-505

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      CAUTION: Scatterplots with weak correlations are just scattered points. You could have a curved shape (i.e.- a parabola) that fits the data perfectly, but it will have a very weak Pearson’s correlation coefficient. The correlation is the same no matter which variable is designated X or Y. The value of r does not depend upon the units of ...

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    • [DOC File]DISCUSS regression and correlation

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      how a correlation coefficient is used to measure the strength of the relationship. Information sheet . Regression. This is the analysis of the association between a dependent variable and one or more independent variables. ... strong and weak correlation. Then click on Back followed by …

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    • [DOC File]Additional Material - University of Phoenix

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      A strong positive correlation. A strong negative correlation. A weak positive correlation. A weak negative correlation. Give a realistic example of each. What is the coefficient of determination? Why is it important to know the amount of shared variance when interpreting both the significance and the meaningfulness of a correlation coefficient?

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    • [DOC File]AP Statistics - Chapter 3 Summary Sheet

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      Correlation Coefficient r: There is a (very strong , strong, moderate, weak, very weak) (positive/negative) linear. relationship between (state the name of the response variable in the context of the problem) and (state the name of the explanatory variable in the context of the problem) . Coefficient of determination r2:

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    • [DOCX File]CORRELATION ACTIVITIES

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      Describe the correlation as strong positive, weak positive, weak negative or strong negative. Guess the correlation coefficient. Determine if there is a causal relationship between the two variables.

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    • [DOC File]Rule of Thumb for Interpreting the Size of a …

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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]Additional Material

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      A weak positive correlation. A weak negative correlation. Give a realistic example of each. What is the meaning of the . p. value of a correlation coefficient? Why is it important to know the amount of shared variance when interpreting both the significance and the meaningfulness of a correlation coefficient?

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