Scatterplots Correlation

What is a scatterplot?

• A type of chart that displays data in a circular format.

• A graph that shows the relationship between two quantitative variables by displaying data points on a two-dimensional axis.

• A diagram that represents data using bars of different heights.

• A visual representation of data using lines to connect points.

What does a positive correlation indicate in a scatterplot?

• A positive correlation indicates that as one variable increases, the other variable also increases.

• A positive correlation indicates that as one variable increases, the other variable decreases.

• A positive correlation indicates that there is no relationship between the variables.

• A positive correlation indicates that both variables remain constant.

What does a negative correlation indicate in a scatterplot?

• As one variable increases, the other variable decreases.

• Both variables increase together.

• There is no relationship between the variables.

• As one variable decreases, the other variable increases.

What is an outlier in a scatterplot?

• A data point that is significantly different from the other points, which can affect the correlation.

• A data point that is exactly in line with the trend of the other points.

• A data point that is the average of all other points.

• A data point that is the highest value in the dataset.

What is the purpose of using scatterplots?

• To visually represent the relationship between two variables and to identify patterns or trends.

• To display data in a tabular format for easy comparison.

• To create a pie chart that shows proportions of a whole.

• To summarize data using mean, median, and mode.

What is a linear relationship in a scatterplot?

• A linear relationship is when the data points form a straight line, indicating a consistent rate of change between the variables.

• A linear relationship is when the data points are scattered randomly without any discernible pattern.

• A linear relationship is when the data points form a curve, indicating a variable rate of change between the variables.

• A linear relationship is when the data points cluster around a central point, showing no correlation.

What does no correlation mean in a scatterplot?

• There is a strong relationship between the two variables.

• Changes in one variable affect the other variable.

• There is no discernible relationship between the two variables; changes in one do not affect the other.

• The two variables are identical and move together.

What does it mean if a scatterplot shows a cluster of points?

• A cluster of points indicates that there is a strong relationship between the two variables in that range.

• A cluster of points suggests that the variables are independent of each other.

• A cluster of points means that there is no correlation between the variables.

• A cluster of points indicates random distribution of the data.

What is a non-linear relationship in a scatterplot?

• A non-linear relationship is when the data points do not form a straight line, indicating that the relationship between the variables changes.

• A non-linear relationship is when the data points form a perfect straight line.

• A non-linear relationship indicates that one variable is dependent on the other in a linear fashion.

• A non-linear relationship means that the data points are randomly scattered without any pattern.

How can scatterplots be used in real-life situations?

• To analyze relationships between variables in fields like economics, biology, and social sciences.

• To create artistic representations of data without any specific analysis.

• To display data in a linear format for easy comparison.

• To summarize data in a tabular format for quick reference.