News / Blog: #statistics

What is logistic regression?

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.

What is factor analysis?

Factor analysis is a statistical technique used to examine the structure of a data set. It is used to reduce the variables in a data set by grouping similar variables together to create a single variable called a factor. This allows for a better understanding of the relationships between variables. It can also be used to determine which variables contribute most to a particular outcome.

What is extrapolation?

Extrapolation is a statistical process that attempts to reach a conclusion about a phenomenon or data structure based on certain existing data. It is a method of forecasting based on the assumption that certain trends present in the current data will exist in the future.

What is data collection?

Data collection is the process of gathering information, data, or statistics from a variety of sources. This can be done through direct observation, interviews, surveys, analysis, or other methods. The goal of data collection is to gather data in order to investigate and solve a specific problem.

What are quantitative methods?

Quantitative methods are methods that use numerical data to investigate problems and concepts. There are many different types of quantitative methods, including surveys, expert interviews, descriptive statistics, exploratory data analysis, structural equation modeling, causal analysis, time series processing, and more. Quantitative methods help researchers identify complex relationships between variables, understand interrelationships, and draw conclusions.