Regression-analysis-Journals
Regression analysis is a powerful statistical method that lets you examine the relationship between two or more interesting variables. Although there are several forms of regression analysis, they all look at the effect of one or more independent variables on a dependent variable at its heart. Analysis of regression offers comprehensive
information that can be used to further develop goods and services. Regression analysis is a collection of statistical processes in statistical modeling to estimate the relationship between a dependent variable and one or more independent variables. Linear regression is the most common form of regression analysis, where a researcher finds the line that most closely fits the data according to a specific mathematical criterion. The method of ordinary squares, for example, calculates the unique line which minimizes the sum of square distances between the true data and that line. Regression analysis is a reliable method for determining which variables affect a topic of interest. The regression method helps you to accurately decide which factors matter the most, which factors can be ignored, and how these factors affect each other. To perform a regression study, identify a dependent variable that one or more independent variables affect the hypothesizing. Then a comprehensive dataset needs to be established with which to work. The
administration of surveys to interested audiences is a great way to create this dataset.
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