Scatterplots Correlation

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 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 illustrates the distribution of a single variable.

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

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 linear regression model for predictive analysis.

• To summarize categorical data using pie charts.

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 in the scatterplot.

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

How can scatterplots be used in real-life situations?

• To create bar graphs for data visualization.

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

• To display data in a circular format for better understanding.

• To summarize data in a single number.

What is the y-axis in a scatterplot?

• The horizontal axis that typically represents the independent variable.

• The vertical axis that typically represents the dependent variable.

• The axis that shows the correlation between two variables.

• The axis that represents the scale of measurement.

What does the slope of a line in a scatterplot represent?

• The slope indicates the average of the two variables.

• The slope represents the rate of change between the two variables; a steeper slope indicates a stronger relationship.

• The slope shows the maximum value of the dependent variable.

• The slope is irrelevant in a scatterplot.

How can you identify a positive correlation in 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 does a negative correlation indicate in a scatterplot?

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

• A negative correlation indicates that both variables increase together.

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

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

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.