12/05/2022 | by Patrick Fischer, M.Sc., Founder & Data Scientist: FDS
Linear regression is a simple model of statistical analysis used to predict values by establishing a linear relationship between one variable (dependent) and several other variables (independent). It involves fitting a linear equation to the observed data points to minimize the least square deviation between the observed data points and the fitted linear function.
12/05/2022 | by Patrick Fischer, M.Sc., Founder & Data Scientist: FDS
Logistic regression is a type of statistical modeling used to predict a binary output of an event. It is commonly used in areas such as disease risk prediction, customer satisfaction, and advertising. It is a type of regression analysis that predicts a binary outcome from a set of variables. It is typically used to determine whether or not an event will occur based on a number of influencing factors.
12/05/2022 | by Patrick Fischer, M.Sc., Founder & Data Scientist: FDS
STATA is a proprietary statistical software used for analyzing complex data sets and creating statistical reports. It is widely used in economics, sociology, political science, and epidemiology. STATA offers a wide range of features, including Data Management, Data Analysis, Graphics and Simulation. It is also used to create linear models, regression-based estimation, panel analysis, time series analysis, multiple comparisons, numerical analysis, and complex data structures.