What do you mean by multivariate techniques? Name the important multivariate techniques and explain the important characteristic of each one of such techniques.

Multivariate techniques are statistical methods used to analyze data that involve multiple variables simultaneously. They are essential in research methodology for management decisions as they help in understanding complex relationships between variables, making predictions, and informing strategic decisions based on comprehensive data analysis. These techniques are especially useful in fields like marketing, finance, and operations where decision-making often involves considering several factors at once.

### Important Multivariate Techniques and Their Characteristics

1. Multiple Regression Analysis
   - Characteristics: Multiple regression analysis is used to examine the relationship between one dependent variable and two or more independent variables. This technique helps in understanding how the dependent variable changes when ______ ________ _____ _________ ___.
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