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This lecture provides a comprehensive introduction to linear regression, highlighting its purpose and significance in statistical analysis. Learners will gain foundational knowledge of regression concepts, calculate the correlation coefficient, and interpret the results to predict future data points. Key topics include understanding strength and direction of correlation, calculation steps, and model evaluation techniques using metrics such as r² and standard error. Practical examples will be...