What are Scatter Plots

What is Bivariate Data

Bivariate data is data which have two variable dependencies. The data can be either Quantitative or Qualitative. The value of one variable changes accordingly with the value of the second variable. The Quantitative bivariate data can be represented in the form of a scatter plot, and Qualitative variable data can be represented in the form of a frequency distribution table. A correlation can exist in bivariate data, the correlation value ranges from -1 and 1....

What are Scatter Plots

Scatter plots are graphs that represent the relation between two variables. It is simply said as plotting points, on the X and Y axis. They are very useful for data analysis or regression analysis. The independent attributes are plotted on X-axis, while dependent attributes are plotted on Y-axis....

What is Linear Regression

Linear Regression is a machine learning model, which is used to predict the future values of a dependent variable, with respect to the best-fit line. The best-fit line is the line that passes through the data points, such that they have the minimum distance error sum from all the points. This is also called a trend line. Excel one-click functionality, to display the equation of the trend line, which is achieved from the machine learning linear regression algorithm....

How to Plot Bivariate Data using Scatter Plot – Steps

Now, we will learn how to create a scatter plot and add a trend line, which will help us analyze the bivariate data in a better way. Lets begin with the help of an example....

Conclusion

With the above mentioned steps you can easily plot Bivariate data in Excel using Scatter Plots. This is easy to do. You can easily corelate two variables and find the relationship between them which is very useful in data analysis and understanding. It also looks more presentable and is way organised....

FAQs

What is plotting bivariate data in Excel? Plotting Bivariate data in Excel means creating a graph that displays the relationship between two different things that are related to each other. The data set you use for this graph consists of pairs of values, where each pair represents a value from one thing and its corresponding value from another thing. By plotting this data, you can visualize patterns, trends, correlations, or associations between the two variables....