Question: The plot depicts noisy data points that were measured in an experiment. What is the best choice of method for computing a smooth function that

The plot depicts noisy data points that were measured in an experiment. What is the best choice of method for computing a smooth function that best approximates such noisy data? (A) A single polynomial interpolant, because it represents the data exactly. (B) A piecewise cubic spline, because the resulting curve will be smooth at each data point. (C) A least-squares fit, because it can capture the overall trends in the data. (D) None will work, because this data is too noisy

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