Scatterplots

Front

What is a scatterplot?

Back

A scatterplot is a graph that displays values for typically two variables for a set of data. Each point represents an observation in the dataset.

Front

What does the line of best fit represent in a scatterplot?

Back

The line of best fit is a straight line that best represents the data on a scatterplot. It shows the general direction of the data points.

Front

How do you determine the line of best fit?

Back

The line of best fit can be determined by visually inspecting the scatterplot and drawing a line that minimizes the distance of all points from the line.

Front

What does it mean if the line of best fit is increasing?

Back

If the line of best fit is increasing, it indicates that as one variable increases, the other variable also tends to increase.

Front

What does it mean if the line of best fit is decreasing?

Back

If the line of best fit is decreasing, it indicates that as one variable increases, the other variable tends to decrease.

Front

What is correlation in the context of scatterplots?

Back

Correlation refers to the relationship between two variables. A positive correlation means both variables increase together, while a negative correlation means one variable increases as the other decreases.

Front

What is a strong correlation?

Back

A strong correlation means that the data points are closely clustered around the line of best fit, indicating a clear relationship between the variables.

Front

What is a weak correlation?

Back

A weak correlation means that the data points are spread out and do not closely follow the line of best fit, indicating a less clear relationship between the variables.

Front

What does it mean if there is no correlation?

Back

No correlation means that there is no apparent relationship between the two variables, and the data points do not follow any trend.

Front

What is the purpose of using a scatterplot?

Back

The purpose of using a scatterplot is to visually display the relationship between two quantitative variables and to identify patterns or trends.