Weak correlation examples
[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:
[DOC File]Examples of non-linear relationships between two variables
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Moderately weak relationship. Input. Output. 0 243.90 2 -1285.30 4 624.40 6 364.50 8 1122.30 10 1006.20 12 -558.40 14 64.50 16 1441.40 18 -590.20 20 577.20 22 1438.30 24 2011.50 26 1639.40 28 674.50 30 1740.60 32 1794.30 34 3311.50 36 4828.40 38 5410.60 40 6122.90 Curved relationship. Moderately weak relationship. Input. Output
[DOCX File]Additional Material
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Be specific and provide examples when relevant. Cite. any sources according to APA guidelines. Question: Answer; Draw a scatterplot of each of the following: A strong positive correlation. A strong negative correlation. A weak positive correlation. A weak negative correlation. Give a realistic example of each.
[DOCX File]blossoms.mit.edu
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Examples of POSITIVE versus NEGATIVE correlation. A positive correlation means the variables increase or decrease at the same time: A negative correlation means that one variable increases as the other decreases: Examples of STRONG versus WEAK correlation. A correlation is called “strong” when the variables move together almost in unison:
[DOC File]DISCUSS regression and correlation
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Correlation. This indicates the nature and strength of the relationship between two variables. The correlation is positive when each variable tends to increase or decrease as the other does. The correlation is negative when one variable tends to increase as the other decreases.
[DOC File]BIVARIATE CORRELATION
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Examples of different values for linear correlations: (a) shows a strong positive relationship, approx +.90; (b) shows a relatively weak negative correlation, approx –.40; (c) shows a perfect negative correlation, correlation = –1.0; (d) shows no linear trend, correlation = 0.0.
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