What does a Scatter Diagram primarily demonstrate regarding two variables?

A Scatter Diagram primarily indicates the type of correlation that may exist between two variables. By plotting data points on a two-dimensional graph where one variable is represented along the x-axis and the other along the y-axis, it allows us to visually assess how changes in one variable may be related to changes in the other.

If a pattern emerges in the positioning of the points—such as a positive slope (where both variables increase together), a negative slope (where one variable increases as the other decreases), or no discernible pattern at all—it can suggest different types of relationships, whether they are strong, weak, or nonexistent. This visual representation is fundamental in identifying correlations that could inform further statistical analysis or decision-making.

The other options involve concepts that aren't directly addressed by a Scatter Diagram. For instance, the mean and standard deviation pertain more to descriptive statistics rather than correlation, variability in multiple samples pertains to different statistical methods like ANOVA, and plotting data in time order relates to time series analysis, which is not the function of a Scatter Diagram.