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A fisherman has collected the following data about the length in inches, L, and weight in ounces, w of fish he has caught. The resulting line of best fit for the data is w=−37.1+3.2L

Would predicting the weight of a 26-inch fish be interpolation or extrapolation? Explain.

(1 point)
Responses

Using the model to predict the weight of a 26-inch fish is interpolation because 26 inches is inside the range of the lengths in the data.
Using the model to predict the weight of a 26-inch fish is interpolation because 26 inches is inside the range of the lengths in the data.

Using the model to predict the weight of a 26-inch fish is extrapolation because 26 inches is inside the range of the lengths in the data.
Using the model to predict the weight of a 26-inch fish is extrapolation because 26 inches is inside the range of the lengths in the data.

Using the model to predict the weight of a 26-inch fish is extrapolation because 26 inches is outside the range of the lengths in the data.
Using the model to predict the weight of a 26-inch fish is extrapolation because 26 inches is outside the range of the lengths in the data.

Using the model to predict the weight of a 26-inch fish is interpolation because 26 inches is outside the range of the lengths in the data.

Using the model to predict the weight of a 26-inch fish is interpolation because 26 inches is inside the range of the lengths in the data. Extrapolation would involve predicting the weight for a length outside the range of the data, which is not the case for a 26-inch fish in this scenario.