The key factor in any statistical models is the right understanding of the domain and its business application linear regression is a very powerful statistical technique and can be used to generate insights on consumer behaviour understanding business and factors influencing profitability. Regression is a statistical tool used to understand and quantify the relation between two or more variables regressions range from simple models to highly complex equations the two primary uses . The following can be some of the best applications of linear regression 1 if a companys sales have increased steadily every month for the past few years by conducting a linear analysis on the sales data with monthly sales the company could forecast sales in future months. 21 the nonlinear regression model 33 211 transformably linear models 35 212 conditionally linear parameters 37 213 the geometry of the expectation surface 37 22 determining the least squares estimates 40 221 the gaussnewton method 2 2 1 41 222 the geometry of nonlinear least squares 43 223 convergence 50 23 nonlinear regression
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