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Chapter 13

# Chapter 13.docx

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Department
Psychology
Course Code
PSYC 1010
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c

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Chapter 13: Correlation March 28 th Correlation - Co-relation between two variables (ex. junk food vs. body fat) The Characteristics of Correlation - Correlation Coefficient- statistic that quantifies a relation between two variables - Linear relation- data forms an overall pattern for which a straight line may be drawn through - Three main characteristics of correlation coefficient: 1. The correlation coefficient can be either positive or negative 2. The correlation coefficient always falls between -1.00 and 1.00 3. It is the strength (magnitude) of the coefficient (not the sign) that indicates how large it is - Positive Correlation- an association between two variables such that participants with high scores on one variable tend to have high scores on the other variable as well, those with low scores on one variable tend to have low scores on the other variable also (high or low on both variables)  Describes a situation in which participants have similar scores in relation to the mean and spread on both variables  Data points move up and down together - Negative Correlation- an association between two variables in which participants with high scores on one variable tend to have low scores on the other variable (high on one variable, low on the other variable)  Correlation coefficient of -1.00 indicates a perfect negative correlation (every point on the scatterplot falls in one line)  Data points move up and down opposite to eachother - Correlation of 0.00 falls right in the middle of the two extremes- indicating no correlation (no association between the two variables) - Strength of the correlation is determine by how close to “perfect the data points are- closer to the “line”=closer to perfect - Correlation does not indicate causation  The first variable might cause the second variable  The second variable might cause the first
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