A fisherman has collected 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. L 13 14 15 16 18 21 23 23 w 3 10 10 15 20 35 38 45 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 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 interpolation because 26 inches is outside the range of the lengths in the data.
A fisherman has collected 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. L 13 14 15 16 18 21 23 23 w 3 10 10 15 20 35 38 45 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 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 interpolation because 26 inches is outside the range of the lengths in the data.
Chapter9: Sequences, Probability And Counting Theory
Section9.7: Probability
Problem 60SE: Use this data for the exercises that follow: In 2013, there were roughly 317 million citizens in the...
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A fisherman has collected 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.
L | 13 | 14 | 15 | 16 | 18 | 21 | 23 | 23 |
---|---|---|---|---|---|---|---|---|
w | 3 | 10 | 10 | 15 | 20 | 35 | 38 | 45 |
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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 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 interpolation because 26 inches is outside the range of the lengths in the data.
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