Scatter Plot

A scatter plot is a graphical representation of two variables, where each point represents an observation in the dataset, showing the relationship between the variables.

A positive association indicates that as one variable increases, the other variable also tends to increase.

A negative association indicates that as one variable increases, the other variable tends to decrease.

A positive relationship can be identified when the points on the scatter plot trend upwards from left to right.

A negative relationship can be identified when the points on the scatter plot trend downwards from left to right.

It means that there is no clear pattern or trend between the two variables being plotted.

Scatter plots are used to visually assess the relationship between two quantitative variables and to identify trends, correlations, or outliers.

The correlation coefficient quantifies the strength and direction of the relationship between two variables, with values ranging from -1 to 1.

A correlation coefficient of 0 indicates no linear relationship between the two variables.

Outliers are data points that fall far away from the general trend of the other points in the scatter plot, potentially indicating anomalies.