Bivariate data

Modules in this concept

• Making Scatter Plots

• Correlation Over Two Data Sets

• Correlation Between Two Variables

• Time Series

Words to remember

Scatter Plot - A Scatter (XY) Plot has points that show the relationship (correlation) between two sets of data.

Correlation - Sets of data are said to be correlated when a change in one data set seems to match to a change in another data set.

Positive correlation - Correlation is Positive when the values increase together

Negative correlation - Correlation is Negative when one value decreases as the other increases

Coincidental correlations - a correlation between the amount of cheese eaten in a year and the height of the oldest person that year is coincidental, as these two data sets are likely to have nothing to do with each other.

Causal correlations - a correlation between age and height is causal, as most people get taller as they age. Causal correlations occur when a change in one data set causes a change in the other.