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One of the most popular and effective multidimensional statistical approaches is regression analysis. It postulates the nature and extent of significant relationships between the variables in a data set. Once you understand how to apply regression, you can identify and determine the relationship between two or more variables. Regression methods help researchers make inferences and forecast future outcomes and behaviours. For example, sales forecasts and weather forecasts depend upon the regression analysis. However, there are some common mistakes that every statistician mistakes in regression methods. These mistakes compromise the validity of the results and lead to incorrect inferences and predictions. This article will tell you about the eight mistakes that every statistician makes in regression analysis.

Are you ready to take your qualitative research to the next level? If so, you may be wondering what sets qualitative research apart from other forms of market research. While quantitative research is focused on numbers and metrics, qualitative research looks at consumers' attitudes, opinions, beliefs, and behaviors. Qualitative research can help you understand what's driving those behaviors and opinions-and how they might change in the future.