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Applied Regression and Modeling by Amar Sahay

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CHAPTER 2

Regression, Covariance, and Coefficient of Correlation

This chapter provides an introduction of regression and correlation analysis. The techniques of regression enable us to explore the relationship between variables. We will discuss how to develop regression models that can be used to predict one variable using the other variable, or even multiple variables. We will explain the following features related to regression analysis: (1) Concepts of dependent or response variable and independent variables, or predictors; (2) the basics of the least squares method in regression analysis and its purpose in estimating the regression line; (3) determining the best-fitting line through the data points; (4) calculating the slope and y-intercept ...

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