Multiple Regression
A statistical technique that uses several explanatory variables to predict the outcome of a response variable, extending simple linear regression to include multiple input variables.
A statistical technique that uses several explanatory variables to predict the outcome of a response variable, extending simple linear regression to include multiple input variables.
A research method that focuses on collecting and analyzing numerical data to identify patterns, relationships, and trends, often using surveys or experiments.
Statistical data relating to a particular population and groups within it.
Research conducted in natural settings to collect data on how people interact with products or environments in real-world conditions.
A comprehensive view of a customer that includes data from all interactions and touchpoints across the customer journey.
A form of regression analysis where the relationship between the independent variable and the dependent variable is modeled as an nth degree polynomial.
The use of AI and advanced analytics to divide users into meaningful segments based on behavior and characteristics.
An approach to design that relies on data and analytics to inform decisions and measure success.
Practical applications of behavioral science to understand and influence human behavior in various contexts.