In the twoway graphs, as shown in above image, the scatter plot in Stata can be created by clicking on the create option, where scatter option is chosen.Īs scatter plot is the relationship between two variables, one dependent and one independent, so our dependent or y variable here is Price and independent variable or x variable is the Mpg.
However, our aim is to create scatter plot here, so we will choose the first option of Twoway graphs. Looking at the drop-down list in graphics, it is visible that all kinds of graphs can be created, including pie charts and bar graphs. To create scatterplot for the data we used, click on Graphics in the menu bar. Scatter Plot in Stata Related Book: A Visual Guide to Stata Graphics by Michael N. The data we choose has different variables including price of the cars, their mileage, manufacturing country etc. We will continue with the auto data given on the first row to create scatter plots in the Stata. To use the data for creating scatter plots in Stata, click on theįile > Example Data sets Example Data Sets installed on the Stataīy clicking on the last option, a list of files or data sets is appeared, by which you can use a given data set to practice on Stata. These datasets are provided by Stata for practice purposes. To create Scatter plots in Stata, we begin by using a given dataset in the example of the Stata. Once we create the scatter plot, the commands also appear in the Stata windows. In this article, however, we focus on creating scatter plot using menu. Scatter plots in Stata can be created either using menu or by using relevant commands. This pattern can predict the correlation that exists between two variables and can even tell us whether this relationship is positive or negative by visualizing the direction of the relationship. In Stata, scatter plots can be generated to visualize this relationship and understand the pattern of graphs. Scatter plot shows the relationship between dependent and independent variables and can be helpful in analyzing the data visually.
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