Marketing research employs a statistical tool called regression analysis to measure the strength of the relationship between the dependent variable and the independent variables. For example ...

Beside the model, the other input into a regression analysis is some relevant sample data, consisting of the observed values of the dependent and explanatory variables for a sample of members of the ...

Simple linear regression is commonly used in forecasting and financial analysis—for a ... between two different variables, called the dependent and independent variables. For instance, suppose ...

The first step in performing a sensitivity analysis is to choose and configure the independent variable. The ANALYSIS TOOLS: Sensitivity Analysis: Choose Independent Variable screen looks like this: ...

Further, statistical methods can be derived from regression analysis to estimate relationships between dependent variables and one or more independent variables. The regression to the mean ...

In its most rudimentary form, regression analysis is the estimation ... you use in the model to predict the dependent variable is called independent. A regression can only have one dependent ...

Catherine Falls Commercial/Getty Images Linear regression is a type of data analysis that considers the linear relationship between a dependent variable and one or more independent variables.

Logistic regression is a powerful statistical method that is used to model the probability that a set of explanatory (independent or predictor) variables predict data in an outcome (dependent or ...

is a key output of regression analysis. It tells you how much of the variation in the dependent variable (what you’re trying to predict) can be explained by the independent variable or variables ...