I analyzed the relationship between study hours and test scores using a simple linear regression model, assuming a linear relationship between the two. Using the least squares method, I estimated the coefficients to find the best-fitting line. The green regression line closely followed the purple data points, capturing the overall trend that increased study hours lead to higher test scores. While the model performed well, I noticed deviations (residuals) that highlight other potential factors influencing test scores, underscoring the complexity of real-world data.

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