To determine which type of function best models the data in a table, you would typically need to analyze the provided data points. However, since the data is not included in your message, I can't directly assess which function type is most suitable.
Here’s a general approach to identifying the best fit:
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Linear: If the data points roughly form a straight line, then a linear function (of the form y = mx + b) is likely the best fit.
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Quadratic: If the data points show a parabolic pattern (i.e., they curve up or down), then a quadratic function (of the form y = ax^2 + bx + c) may be the best model.
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Cubic: If there’s a more complex curve with possibly one or two bends, a cubic function (of the form y = ax^3 + bx^2 + cx + d) might be appropriate.
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Exponential: If the data points rise or fall rapidly, often doubling or halving from one point to the next, an exponential function (of the form y = ab^x) could be the best model.
If you share the actual data, I'd be happy to help you analyze it to determine which function best fits!
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