How to do Multinomial Logistic Regression in Stata
Multinomial Logistic Regression in Stata is used to analyze the relationship with a categorical dependent variable with three or more categories.
Multinomial Logistic Regression in Stata is used to analyze the relationship with a categorical dependent variable with three or more categories.
Logistic regression in Stata is a statistical model to estimate relationship between a binary outcome variable and one or more predictor variables.
Hypothesis testing is a statistical technique used to draw conclusions about a population based on sample data. I discuss in-depth guide on it.
Panel data analysis in Stata is used to analyze data that varies across both time and individuals or groups. I will discuss step-by-step process for conducting these statistical analysis in Stata.
The t test in Stata is used to measure mean difference between two variables, or two groups, or a single variable with a hypothesized value.
In this article, I interpret regression results in Stata. I have analyzed the multiple regression model using auto motive data from 1978.