Identify if there is a relationship between the independent and dependent variable.

To identify if there is a relationship between the independent and dependent variable, follow these steps:

1. Define Your Variables: First, clearly define what your independent and dependent variables are. The independent variable is the one you control or manipulate in an experiment, while the dependent variable is the one you measure to see if it changes due to the independent variable.

2. Collect Data: Collect data that includes both your independent and dependent variables. This could be through an experiment, a survey, or any other data collection method.

3. Graph Your Data: Plot your data on a graph with the independent variable on the x-axis and the dependent variable on the y-axis. This can help you visually see if there is a relationship.

4. Statistical Analysis: Conduct a statistical analysis to determine if there is a significant relationship between the two variables. This could be a correlation, regression, or other statistical test depending on your data and research question.

5. Interpret Your Results: Based on your analysis, interpret your results. If there is a significant relationship, your dependent variable changes when your independent variable changes. If there is no significant relationship, your dependent variable does not change when your independent variable changes.

Remember, correlation does not imply causation. Even if there is a relationship between the two variables, it does not mean that changes in the independent variable cause changes in the dependent variable. There could be other factors at play.