To determine which graph shows the line of best fit for the scatter plot based on the given problem, we need to find the option that represents a trend in the data points, ideally showing a positive correlation.
Evaluating the Options:
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Option A: The line passes through points (26, 30) and (45, 22). This line has a negative slope because as the x-value increases (from 26 to 45), the y-value decreases (from 30 to 22). This does not indicate a positive trend, so it is unlikely to be the line of best fit.
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Option B: The line passes through points (10, 0), (59, 26), and (70, 32). This line has a positive slope because as the x-values increase, the y-values also increase. This indicates a positive correlation, which is likely to be a good candidate for the line of best fit.
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Option C: The line is horizontal, passing through points (55, 26) and (59, 26). This indicates no relationship between hours of practice and goals scored but does not show any upward or downward trend, so it is not a suitable line of best fit.
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Option D: The line passes through points (25, 16) and (55, 26). This line has a positive slope, suggesting a positive relationship between the x-values and y-values as the x-values increase from 25 to 55, the y-values also increase. This indicates a positive trend, making it a potential fit.
Conclusion: Based on the evaluation of the options, Option B appears to be the best choice as it shows a clear positive correlation reflecting a line of best fit for Terrence's scatter plot data.