Scatterplots and data analysis

Question

Scatterplots and data analysis unit test

Answer 1

1. What is a scatterplot and how is it used in data analysis?

A scatterplot is a graph that shows the relationship between two numerical variables. It is used in data analysis to visually display the data points and determine if there is a correlation or pattern between the variables.

2. How do you interpret a scatterplot?

In a scatterplot, the horizontal axis represents one variable and the vertical axis represents the other variable. Each data point is plotted as a point on the graph. By looking at the pattern of the data points, you can determine if there is a positive, negative, or no correlation between the variables.

3. What does the slope of a scatterplot line indicate?

The slope of a scatterplot line indicates the direction and strength of the relationship between the two variables. A positive slope indicates a positive correlation, a negative slope indicates a negative correlation, and a flat slope indicates no correlation.

4. How do you analyze outliers in a scatterplot?

Outliers are data points that are significantly different from the rest of the data. In a scatterplot, outliers can skew the overall analysis and interpretation of the relationship between the variables. It is important to identify and assess outliers to determine if they are valid data points or if they should be removed from the analysis.

5. How can you use a scatterplot to make predictions?

By analyzing the pattern of data points in a scatterplot, you can make predictions about future outcomes or trends. For example, if there is a strong positive correlation between two variables, you can predict that as one variable increases, the other variable will also increase. However, it is important to note that correlation does not imply causation, so predictions should be made carefully and based on sound analysis.