Scatterplot Associations

What does a positive association in a scatterplot indicate?

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

• A positive association indicates that as one variable increases, the other variable tends to decrease.

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

• A positive association indicates that both variables remain constant regardless of each other.

How can you identify a negative correlation on a scatterplot?

• A negative correlation is identified when the data points slope upwards from left to right.

• A negative correlation is identified when the data points are scattered randomly.

• A negative correlation is identified when the data points slope downwards from left to right.

• A negative correlation is identified when the data points form a vertical line.

What is a linear association?

• A relationship between two variables that can be represented by a straight line on a scatterplot.

• A relationship that shows a curved pattern on a graph.

• A relationship where one variable does not affect the other.

• A relationship that can only be represented by a dotted line.

How can scatterplots be used in real-life applications?

• To analyze relationships in various fields such as economics, biology, and social sciences.

• To create artistic representations of data without any analytical purpose.

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

• To replace traditional statistical methods entirely.

How can you identify a positive correlation on a scatterplot?

• A positive correlation is identified when the data points slope upwards from left to right.

• A positive correlation is identified when the data points slope downwards from left to right.

• A positive correlation is identified when the data points are scattered randomly.

• A positive correlation is identified when the data points form a vertical line.

What is the significance of outliers in a scatterplot?

• Outliers are data points that differ significantly from other observations; they can affect the correlation and interpretation of the data.

• Outliers are always errors in data collection and should be removed.

• Outliers indicate a perfect correlation between variables.

• Outliers have no impact on the overall data analysis.

What does a negative association in a scatterplot indicate?

• A positive association indicates that as one variable increases, the other variable tends to increase.

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

• A negative association indicates that there is no relationship between the variables.

• A negative association indicates that both variables are constant.

What does it mean if a scatterplot shows no association?

• 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 variables are perfectly correlated.

What is the difference between correlation and causation?

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

• Correlation means that two variables are identical, while causation means they are different.

• Correlation suggests that one variable causes changes in another, while causation indicates no relationship between them.

• Correlation and causation are interchangeable terms that mean the same thing.

What is a scatterplot?

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

• A type of chart that represents categorical data using bars.

• A diagram that displays the frequency of data points in a dataset.

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