So...
What's an example of undefined correlation?
An example of undefined correlation is when there is no apparent relationship between two variables. This means that there is no consistent pattern or direction in their association. To find an example of undefined correlation, you can collect data on any two variables and analyze their relationship using statistical methods. Here's how you can do it:
1. Choose two variables: Let's say you want to analyze the relationship between the number of hours slept and a person's height.
2. Collect data: Gather information on different individuals, recording the number of hours they sleep daily and their corresponding heights. Ensure that you have a sufficient sample size to make meaningful conclusions.
3. Plot the data: Create a scatter plot with number of hours slept on the x-axis and height on the y-axis. Each individual's data point will be represented by a dot on the graph.
4. Observe the scatter plot: Analyze the scatter plot and look for patterns or trends. If the dots are scattered randomly without any clear pattern or trend, it suggests an undefined correlation.
5. Calculate correlation coefficient: To quantify the correlation, you can calculate the correlation coefficient, such as Pearson's correlation coefficient. If the coefficient is close to zero or falls within the range of -0.1 to 0.1, it indicates an undefined correlation.
In the case of the example, if you find that there is no consistent pattern or direction between the number of hours slept and height, you will have identified an example of undefined correlation. Remember, it is important to collect sufficient data and use statistical methods to make accurate conclusions about the correlation between variables.