Regression Analysis is a powerful tool used in Business Statistics to forecast and predict outcomes. It is used in a variety of applications to gain insights from data and make informed decisions. Linear Regression is a key component of this process.
Linear Regression in R-Series 5
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In this series of tutorials, MarinStatsLectures covers the basics of linear regression in R. Tutorial 5.1 covers simple linear regression, 5.2 covers checking linear regression assumptions, and 5.3 covers multiple linear regression. The tutorials provide an overview of the linear regression process, from data preparation to model fitting and interpretation.
Simple Linear Regression
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Simple Linear Regression is a statistical technique used to predict the value of a dependent variable based on the value of an independent variable. It is based on the Least Squares Regression Line, which is used to interpret the model parameters. Assumptions are made to ensure the accuracy of the model, and these assumptions are checked to ensure the validity of the results. This course provides an introduction to Simple Linear Regression and its various components.
Linear Regression Algorithm Linear Regression Machine Learning Linear Regression Full Course
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This tutorial by Great Learning provides a comprehensive overview of the Linear Regression Algorithm, Linear Regression Machine Learning, and Linear Regression Full Course. Professor Mukesh Rao, the academic director at Great Learning, will guide learners through the concepts and help them gain a better understanding of the topic. This tutorial is ideal for those looking to gain a deeper understanding of Linear Regression.
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