Regression is a statistical market research technique that is used to measure the relationship between two or more variables. The most common type of regression is linear regression, which is used to measure the linear relationship between two variables. Linear regression is based on the assumption that the relationship between the variables is linear. However, this assumption is not always correct, and other types of regressions, such as logistic regression, may be more appropriate.
Logistic regression is used to measure the relationship between a binary dependent variable and one or more independent variables. Unlike linear regression, logistic regression does not require that the relationship between the variables be linear.
Logistic regression is often used in market research to model customer behavior. Another type of regression, called OLS regression, can be used to estimate market demand. OLS regression is based on the assumption that market demand is a function of price and income. However, this assumption is not always correct, and other types of regressions may be more appropriate.
