What would you conclude about a set of quantitative bivariate data with a linear correlation coefficient of -1? How would the scatterplot for such data appear?
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Understand that the linear correlation coefficient, denoted as \(r\), measures the strength and direction of a linear relationship between two quantitative variables. It ranges from \(-1\) to \$1$.
Recognize that a correlation coefficient of \(r = -1\) indicates a perfect negative linear relationship between the two variables. This means that as one variable increases, the other decreases in a perfectly linear manner.
Conclude that the data points lie exactly on a straight line with a negative slope. There is no deviation from this line, so the relationship is deterministic rather than just strongly correlated.
Visualize the scatterplot: all points will be aligned on a straight line that slopes downward from left to right, showing a perfect inverse relationship.
Summarize that such a scatterplot reflects a perfect negative linear association, where knowing the value of one variable allows you to predict the other variable exactly using a linear equation with a negative slope.
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Key Concepts
Here are the essential concepts you must grasp in order to answer the question correctly.
Linear Correlation Coefficient
The linear correlation coefficient, denoted as r, measures the strength and direction of a linear relationship between two quantitative variables. It ranges from -1 to 1, where -1 indicates a perfect negative linear relationship, 0 means no linear relationship, and 1 indicates a perfect positive linear relationship.
A correlation coefficient of -1 means that the two variables have a perfect negative linear relationship. This implies that as one variable increases, the other decreases in a perfectly consistent manner, with all data points lying exactly on a straight line with a negative slope.
Empirical Rule of Standard Deviation and Range Rule of Thumb
Scatterplot Representation
A scatterplot for data with r = -1 will show all points aligned precisely along a straight line sloping downward from left to right. This visual pattern confirms the perfect negative linear relationship, with no deviations or scatter around the line.