Investigating the mathematics of gradient descent in Linear Regression Machine Learning models: How are linear regression machine learning models effectively constructed using mathematics to generate ...
Linear regression is a method for modeling the relationship between two numerical variables by fitting a straight line to the data. It is used to understand how changes in an explanatory variable ...
The data used in this analysis is the "Student Performance" from kaggle.The data contains information about student performance such as gender, race/ethnicity, parental level of education, test ...
This course reviews simple linear regression and introduces multiple regression with emphasis on theory of least squares estimation, residual analysis, and model interpretation. Within the multiple ...
ABSTRACT: Fuzzy regression analysis is an important regression analysis method to predict uncertain information in the real world. In this paper, the input data are crisp with randomness; the output ...
Introduces methods, theory, and applications of linear statistical models, covering topics such as estimation, residual diagnostics, goodness of fit, transformations, and various strategies for ...
ABSTRACT: There is a set of points in the plane whose elements correspond to the observations that are used to generate a simple least-squares regression line. Each value of the independent variable ...
Abstract: The present study proposes a flexible/soft model for investigating the role of philosophic-mindedness, creativity, mathematics self-efficacy, and mathematics self-concept in predicting math ...
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