1. Interpolation is useful when one or more data points are missing. This situation often occurs with environmental meas

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1 Interpolation Is Useful When One Or More Data Points Are Missing This Situation Often Occurs With Environmental Meas 1 (134 KiB) Viewed 26 times

1. Interpolation is useful when one or more data points are missing. This situation often occurs with environmental measurements, such as temperature, because of the difficulty of making measurements around the clock. The following table of temperature versus time data is missing readings at 5 and 9 hours. Use linear interpolation with MATLAB to estimate the temperature at those times. Time (hours, 1 P.M.) Temperature (°C) 2 10 9 3 18 4 24 5 ? 6 7 21 20 |8 18 9 ? 10 11 15 13 12 11