In which data set is there evidence of a strong nonlinear relationship between the two variables?
What are the data sets?
To determine whether there is evidence of a strong nonlinear relationship between two variables in a data set, you can perform a visual analysis by plotting the data points on a scatter plot and observing the overall pattern. A scatter plot is a graphical representation that shows the relationship between two variables.
To create a scatter plot, follow these steps:
1. Choose a data set that contains two variables for which you want to examine the relationship.
2. Plot one variable on the x-axis (horizontal axis) and the other variable on the y-axis (vertical axis). Make sure to label the axes appropriately.
3. Plot each data point on the graph according to its corresponding x and y values.
Once you have created the scatter plot, examine the overall pattern of the data points. If the points form a pattern that is not linear (i.e., they do not form a straight line), there may be evidence of a nonlinear relationship between the variables. A strong nonlinear relationship is typically characterized by data points that follow a curve or some other non-linear shape.
So, to identify a data set that exhibits evidence of a strong nonlinear relationship, you can choose a data set and create a scatter plot. If the data points do not follow a straight line pattern but instead form a curve or exhibit other non-linear patterns, this suggests the presence of a strong nonlinear relationship between the variables in that data set.