ANOVA table: This is the table at the top-left of the output in Stata and it is as shown below:.The Stata output has three tables and we will explain them one after the other. Using Stata to fit a regression line in the data, the output is as shown below: One of the independent variables is a categorical variable. In this article, we will be considering a randomly generated data with 20 observations, 3 independent variables and 1 dependent variable. Its regression output is highly informative and it is one of the most widely used tool for estimating the relationship between dependent variable and independent variable(s).

Stata is a statistical software used for data analysis, management and visualization. In this article, I will be explaining the regression output of Stata and the interpretation of the different results. Interpreting the findings of regression analysis is an important skill in data analytics because it can serve as a guide for data driven decisions in organizations. In our articles on linear regression and logistic regression, we described independent variable(s) as variables we wish to use to predict the response variable (dependent variable), while dependent variable as a variable we wish to explain its variation using the independent variable(s). Regression analysis is a statistical method used by data analysts to estimate the relationship between a dependent variable and independent variable(s). Regression Analysis: Interpreting Stata Regress Output Regression Analysis

Stata regression