Analyzing Scatterplots

What is an outlier in a scatterplot?

• A data point that is similar to other data points.

• A data point that is not plotted correctly.

• A data point that is significantly different from other data points.

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

What does a positive correlation in a scatterplot indicate?

• As one variable increases, the other variable also tends to increase.

• As one variable increases, the other variable tends to decrease.

• As one variable decreases, the other variable also tends to decrease.

• There is no relationship between the two variables.

How can you analyze the relationship between two variables in a scatterplot?

• Visually examine the pattern of the plotted points and calculate the correlation coefficient.

• Calculate the mean of the two variables and compare them.

• Plot a line of best fit and calculate the slope.

• Count the number of points above and below the line of best fit.

How can you identify outliers in a scatterplot?

• By focusing on data points that are located in the center of the scatterplot.

• By observing data points that are significantly distant from the main cluster of points or that deviate from the general trend of the data.

• By identifying data points that follow the general trend of the data.

• By looking for data points that are close to the main cluster of points.

How can you determine if there is a positive correlation in a scatterplot?

• Observe if the points on the plot generally move from the bottom left to the top right.

• Observe if the points on the plot generally move from the top left to the bottom right.

• Observe if the points on the plot are randomly scattered.

• Observe if the points on the plot form a straight horizontal line.

What does a negative correlation in a scatterplot indicate?

• As one variable decreases, the other variable decreases.

• There is no relationship between the variables.

• As one variable increases, the other variable increases.

• As one variable increases, the other variable decreases.

What are some possible interpretations of a scatterplot?

• Scatterplots can be used to visualize the distribution of a single variable.

• Scatterplots can be used to determine causation between variables.

• Scatterplots can be used to identify relationships, trends, clusters, outliers, or lack of correlation between variables.

• Scatterplots can be used to compare the means of different groups.

What are some common patterns that can be observed in scatterplots?

• Linear correlation, exponential correlation, random correlation, and outliers.

• Increasing correlation, decreasing correlation, constant correlation, and gaps.

• Strong correlation, weak correlation, moderate correlation, and noise.

• Positive correlation, negative correlation, no correlation, and clusters.

How can you use scatterplots to make predictions?

• By randomly selecting data points and making predictions based on them.

• By using scatterplots to visualize data but not making predictions.

• By using scatterplots to identify outliers in the data.

• By identifying patterns or trends in the data.

What does it mean to interpret a scatterplot in math?

• Analyzing the relationship between two variables by looking for patterns or trends in the plotted points.

• Drawing a line through the plotted points

• Ignoring the plotted points and focusing on the axes

• Counting the number of points on the scatterplot