Category: Statistics
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Linear Regression Fundamentals: Simple Linear Model, Part 2
Linear regression is a fundamental statistical technique to understand the relationship between two variables. It works on the principle of fitting a straight line through data points to model the relationship between the independent variable and the dependent variable(s).
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Book Review: Practical Statistics for Data Scientists
Bottom Line Up Front Statistics is essential for doing data science, but it is often not readily available or easily […]
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Linear Regression Fundamentals: Bridging Theory and Practice, Part 1
Linear regression is a fundamental statistical technique to understand the relationship between two continuous variables. It works on the principle […]
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Summary Statistics: the Essential Methods for Describing Data
use descriptive statistics and explore its significance in extracting valuable information from data.
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A Basic Introduction to Statistics
Definition Statistics is the science of data. It is concerned with collecting, classifying, summarizing, analyzing, interpreting and presenting information. In […]