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Regression coefficients Definition

Values that indicate the effect of the individual independent variables on the dependent variable.

Regression coefficients are numerical values that represent the strength and direction of the relationship between independent variables and the dependent variable in a regression model. Each coefficient indicates how much the dependent variable is expected to change when the independent variable increases by one unit, holding other variables constant.

Who relies on regression coefficients in market research?

Market researchers, data analysts, statisticians, marketing strategists and business intelligence teams use regression coefficients to interpret the influence of various factors on outcomes.

What are the key aspects of regression coefficients in market research?

• Show the magnitude and direction of variable effects.
• Can be positive or negative.
• Interpreted within the context of the model.
• Accompanied by significance testing (e.g., p-values).
• Central to model predictions and diagnostics.

Why are regression coefficients important to understand in market research?

They provide insight into which variables have the greatest influence on key outcomes like customer satisfaction, brand loyalty or purchase intent. Understanding coefficients helps prioritize marketing actions and optimize strategies.

How do market researchers use regression coefficients?

Researchers use them to quantify the impact of factors such as price, advertising spend, product features or demographics. These coefficients guide decision-making, forecast scenarios and explain which drivers most affect consumer behavior.