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MATH 325 Linear Regression I

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The MATH 325 Linear Regression I models are widely utilized in business administration, economics, engineering, and, therefore, the social, health, and biological sciences. Successful applications of those models require a sound understanding of both the underlying theory and consequently, the practical problems that are encountered in using the models in real-life situations. During this first course in rectilinear regression, students are going to be exposed to a number of the elemental tools of rectilinear regression. The stress is going to be on using and interpreting linear models. Additionally, to analyzing given linear models, students will analyze data and make rectilinear regression models as a way to assess and evaluate the extent to which individuals or sets of predictor variables influence a specific response. Moreover, students will utilize these models to predict the outcomes pertaining to various types of response variables. Applications from a variety of various areas are going to be examined.

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