Scatter Plots

Front

What is a scatter plot?

Back

A scatter plot is a graphical representation of two variables where each point represents an observation. It helps to visualize the relationship between the variables.

Front

What does a positive correlation in a scatter plot indicate?

Back

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

Front

What does a negative correlation in a scatter plot indicate?

Back

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

Front

What does 'no association' mean in the context of scatter plots?

Back

'No association' means that there is no discernible relationship between the two variables represented in the scatter plot.

Front

How can you identify a strong positive correlation in a scatter plot?

Back

A strong positive correlation is identified when the points in the scatter plot closely follow a straight line that slopes upwards.

Front

How can you identify a strong negative correlation in a scatter plot?

Back

A strong negative correlation is identified when the points in the scatter plot closely follow a straight line that slopes downwards.

Front

What is the purpose of using scatter plots in data analysis?

Back

Scatter plots are used to identify relationships, trends, and patterns between two quantitative variables.

Front

What does it mean if a scatter plot shows a cluster of points?

Back

A cluster of points in a scatter plot indicates that there is a concentration of data points around a certain area, suggesting a potential relationship.

Front

What is the significance of outliers in a scatter plot?

Back

Outliers are data points that fall far from the general pattern of the data. They can indicate variability in the data or errors in measurement.

Front

What is the difference between correlation and causation?

Back

Correlation indicates a relationship between two variables, while causation implies that one variable directly affects the other.