When more than   define regression in statistics one independent variable is used to explain the dependent variable, the technique is known . This approach allows researchers to analyze the combined effect of several factors simultaneously. For example, a business might use multiple regression to understand how advertising spend, pricing, and customer income levels together affect sales. This makes regression especially valuable in real-world situations where outcomes are rarely influenced by a single factor.

When more than   define regression in statistics one independent variable is used to explain the dependent variable, the technique is known as multiple regression. This approach allows researchers to analyze the combined effect of several factors simultaneously. For example, a business might use multiple regression to understand how advertising spend, pricing, and customer income levels together affect sales. This makes regression especially valuable in real-world situations where outcomes are rarely influenced by a single factor.