Scatterplots and Correlation: Direction, Form, Strength, and Outliers
Describe bivariate quantitative relationships precisely and use correlation only when its linear-association conditions make sense.
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Unit 5: Regression Analysis
Read: Scatterplots and Correlation: Direction, Form, Strength, and Outliers
Least-Squares Regression Line: Formula and Interpretation
Published July 18, 2026Updated August 14, 2026By Engr. Muhammad Yar Saqib35 min read
Connect the least-squares equation to correlation, standard deviations, prediction, residuals, and contextual interpretation.
Residuals and Regression Diagnostics: Patterns and Influential Points
Published July 18, 2026Updated August 14, 2026By Engr. Muhammad Yar Saqib30 min read
Use residuals to measure prediction error, distinguish unusual y-values from leverage, and judge when a linear model needs closer scrutiny.