Scatterplot Interpretation

What is a scatterplot?

• A scatterplot is a type of data visualization that displays the relationship between two categorical variables.

• A scatterplot is a type of data visualization that displays the relationship between two numerical variables.

• A scatterplot is a type of data visualization that displays the relationship between a numerical variable and a categorical variable.

• A scatterplot is a type of data visualization that displays the relationship between two numerical variables using a line graph.

How are scatterplots used to represent data?

• Scatterplots are used to visually represent the relationship between two variables by plotting individual data points on a graph.

• Scatterplots are used to compare data across different time periods.

• Scatterplots are used to show the distribution of a single variable.

• Scatterplots are used to display categorical data.

What are the two variables represented on a scatterplot?

• independent variable and dependent variable

• input variable and output variable

• x-axis and y-axis

• control variable and experimental variable

How can you determine the relationship between two variables using a scatterplot?

• By analyzing the x-axis values only.

• By calculating the mean of the variables.

• By examining the pattern of points on the scatterplot.

• By drawing a line of best fit through the points.

What does a positive correlation on a scatterplot indicate?

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

• There is no relationship between the two variables.

• As one variable decreases, the other variable tends to increase.

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

What does a negative correlation on a scatterplot indicate?

• As one variable decreases, the other variable decreases.

• As one variable increases, the other variable increases.

• There is no relationship between the two variables.

• As one variable increases, the other variable decreases.

What does no correlation on a scatterplot indicate?

• A positive relationship between the variables.

• A negative relationship between the variables.

• A strong relationship between the variables.

• No relationship between the variables

How can outliers affect the interpretation of a scatterplot?

• Outliers have no effect on the interpretation of a scatterplot.

• Outliers can improve the accuracy of estimates and summary statistics.

• Outliers only affect the visual appearance of the scatterplot, not the interpretation.

• Outliers can distort the overall pattern and trend in the data, leading to inaccurate estimates and summary statistics.

What is the purpose of adding a trendline to a scatterplot?

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

• To confuse the viewer and make the data harder to interpret.

• To make the scatterplot look more visually appealing.

• To add unnecessary complexity to the scatterplot.

How can you use a scatterplot to make predictions?

• By analyzing the pattern or trend observed on the scatterplot.

• By connecting the dots on the scatterplot with a straight line.

• By ignoring the scatterplot and using other data sources.

• By randomly selecting points on the scatterplot.