Develop predictive models to deepen your
market insight.

In market research analysis, as in any statistical analysis, a regression function describes the relationship between a dependent variable—the outcome you desire —and independent variables, those elements that influence that outcome. Multivariate regression extends the regression function to describe not just one dependent and independent variable, but multiple variables. Marketing scientists may use the technique to

• Describe the relationship between variables.
• Predict change in the dependent variables based on manipulation of independent variables.
• Develop complex, visual representations of predictive models that show how all of the data points in a situation work together.

Even though the statistical argot may elude some readers, for end users and marketers, multivariate regression analysis has specific benefits.

• Understand the attributes, like weight, color, convenience, comfort, that influence a user’s perception of (and decision to purchase) your product –and how these attributes interrelate.
• Explore the variables that influence consumer attitudes, demographic as well as psychographic, and observe how they collectively impact consumer behavior.
• Predict who among your prospective customers is likeliest to adopt your offerings, based on data about past users.

The exploratory and predictive capabilities of multivariate regression can help businesses develop more effective marketing, make better products, enhance customer service, and improve business results writ large.

The advantage of FGI’s full-service approach is that we not only collect high-quality data to support market research analysis but also perform the analysis and offer advice for end users who need to turn results into actions. Let us help you reach your objectives, set new goals for your business, and expand your success. Contact one of our professionals today.