# Linear relationship and the sample correlation coefficient

In which data set is there evidence of a strong nonlinear relationship between the two variables? (x,y u,v w,t m,n no data sets at all)

Which data set indicates the strongest positive linear relationship between its two variables? (x,y u,v w,t m,n)

Which data set has an apparent negative, but not perfect linear relationship between its two variables? (x,y u,v w,t m,n none of the data sets)

WHich data set indicates a perfect negative linear relationship between its two variables? (x,y u,v w,t m,n or none of the data sets)

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...onship between x and y variables such that as values for x increases, values for y also increase.

Negative correlation: If x and y have a strong negative linear correlation, r is close to -1. An r value of exactly -1 indicates a perfect negative fit. Negative values indicate a relationship between x and y such that as values for x increase, values for y decrease.

No correlation: If there is no linear correlation or a weak linear correlation, r is close to 0. A value near zero means that there is a random, nonlinear relationship ...