Scatterplots and Correlation Quiz

A graph used to visualize the relationship between two variables by plotting data points as coordinates.

A relationship between two quantities where a change in one quantity influences the other in a consistent way.

Correlation where both quantities increase together. As one value goes up, the other also goes up.

Correlation where as one quantity increases, the other decreases. In other words, they move in opposite directions.

When there is no clear pattern or relationship between two quantities. Changes in one do not consistently affect the other.

The data points on the scatterplot show a clear trend in a specific direction, either increasing or decreasing.

The variable whose value is changed or manipulated in an experiment, often plotted on the x-axis of a scatterplot.

The variable whose value is measured or observed in response to changes in the independent variable, often plotted on the y-axis of a scatterplot.

A scatterplot with no correlation shows no relationship between the variables on the x-axis and y-axis. The data points are scattered randomly and don't follow any specific pattern or trend.

A scatterplot with a positive correlation shows a direct relationship between the variables. As the value on the x-axis increases, the value on the y-axis also tends to increase.

A scatterplot with a negative correlation shows an inverse relationship between the variables. As the value on the x-axis increases, the value on the y-axis tends to decrease.

The strength of a correlation describes how closely the data points follow a linear trend. A strong correlation means the points are close to the line of best fit, while a weak correlation means they are scattered further away.

A perfect positive correlation occurs when all the data points fall precisely on a straight line with a positive slope.

A perfect negative correlation occurs when all the data points fall precisely on a straight line with a negative slope.