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Correlational studies and the correlation coefficient values tell us about

a) Linear relationships
b) Curvilinear relationships
c) Causation
d) Non-relationships

User PJvG
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Final answer:

Correlation coefficient values tell us about linear relationships between variables, indicating the strength and direction of the relationship. However, correlation does not imply causation.

Step-by-step explanation:

The correlation coefficient values tell us about linear relationships between variables. Correlations with a positive value indicate a positive linear relationship, while correlations with a negative value indicate a negative linear relationship. Correlations close to zero indicate a weak or no linear relationship.

Correlation coefficients, represented by the letter r, are numeric values ranging from -1 to 1. The value of r represents the strength and direction of the linear relationship. The closer the value is to -1 or 1, the stronger the relationship is. A value of 0 indicates no linear relationship.

It's important to note that correlation does not imply causation. Correlational studies can show a relationship between variables, but they do not provide evidence of causation.

User MJM
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