Linear relationship: A relationship wherein the change in the dependent variable associated with a one-unit increase in the independent variable remains static or constant at all levels of the independent variable.
Three Types of Correlations Between a Continuous IV and a Continuous DV
The statistic representing correlations is called the r coefficient. This coefficient ranges from −1.00 to +1.00. The population correlation coefficient is ρ , which is the Greek letter rho (pronounced “row”). A correlation of ±1.00 signals a perfect relationship where a one-unit increase in x (the IV) is always associated with exactly the same unit increase of x , across all values of both variables. Correlations of zero indicate that there is no relationship between the two variables. Coefficients less than zero signify negative relationships, whereas coefficients greater than zero represent positive relationships.
r coefficient: The test statistic in a correlation analysis.
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