This presentation covers linear regression, a method used to find relationships between variables and make predictions. It explains key concepts like regression equations, correlation, and residuals—differences between actual and predicted values. Residual plots help assess model accuracy by checking for patterns that might suggest non-linearity or outliers. Understanding these concepts allows for better data-driven decision-making.

Interactive map of Vancouver showing bike thefts. Thefts are grouped where regions with <10 bike thefts are green, <100 are orange, and 100+ are red.

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