This analysis focuses on interpreting the RSS Contour Plot for an auto insurance dataset. The plot helps identify the optimal intercept values that minimize the Residual Sum of Squares (RSS), leading to the best-fit linear regression model. The intercept of approximately 270 predicts the baseline number of claims when no advertising is done, while the slope of -0.15 suggests a slight reduction in claims for every additional $1,000 spent on advertising. The plot visually highlights how parameter changes influence RSS, confirming that the chosen parameters yield the smallest error and actionable insights for optimizing advertising strategies.