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Every research demands central theme that provides a ground base for technical study. You can find systematic procedures for better understanding of a shift from one field of research to another. One of the fields of research is ethnographic studies. Ethnography is a study of culture and social organisations. You can study these aspects in a group as well as in the form of a community. The most common use of ethnography can be seen in exploring a cultural phenomenon. As a researcher of ethnography, you need to highlight a single culture from different angles. As per its importance, this article aims to discuss ethnographic studies in detail.

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.