Scatter Plots #1

A scatter plot is a graph that shows the relationship between two quantitative variables by displaying data points on a two-dimensional axis.

Correlation refers to the strength and direction of a linear relationship between two variables in a scatter plot.

Causation indicates that one event causes another, while correlation indicates a relationship between two events without implying cause.

Outliers are data points that differ significantly from other observations in a scatter plot, potentially indicating variability or errors.

A strong positive correlation is represented by points that closely follow a straight line with a positive slope.

A weak negative correlation indicates that as one variable increases, the other variable tends to decrease, but the relationship is not strong.

A linear relationship can be identified if the data points form a pattern that resembles a straight line.

A nonlinear relationship is when the data points do not follow a straight line, indicating a more complex relationship between the variables.

No correlation means that there is no discernible relationship between the two variables, and the data points are scattered randomly.

Outliers can be determined by identifying points that are significantly distant from the overall pattern of the data.