Comparing my estimated line of best fit (black dashed line) to the actual line of best fit (green solid line), I can see some key differences. While my line captures the general trend of the data, it diverges from the actual line, particularly in the steepness and the intercept. My line may underestimate or overestimate certain key points, suggesting a less accurate prediction compared to the actual data.
To adjust my line to be more like the actual line of best fit, I would focus on refining the slope to better align with the overall trend indicated by the actual data. I would also reconsider the intercept to ensure that my line starts at a more appropriate point to match the pattern of the data. Additionally, incorporating any outlier patterns or clustering in the data could help improve the accuracy of the estimated line.
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