Several patterns may be observed in scatter plots, each indicative of different types of relationships:
Positive Correlation: As the value of the independent variable increases, the value of the dependent variable also increases. This is displayed as an upward trend in the scatter plot. Negative Correlation: As the value of the independent variable increases, the value of the dependent variable decreases, resulting in a downward trend. No Correlation: No discernible pattern is evident, suggesting no direct relationship between the variables. Non-linear Relationships: Patterns such as curves or clusters may indicate more complex relationships that are not simply linear.
