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Time (s) Concentration (mg/L) 0 0 5 194 10 246 · A laboratory test was performed to obtain change of concentration with time. Test results are shown on the table. The student noticed that one data at t=20s is missing. . Use interp1() function to predict the missing value with different methods: linear, cubic and spline. Compose the predicted curves of these methods for a set of time data (0,40) on a figure. Hint: use linspace function to create t array, and for loop to calculate the concentration arrays predicted by linear, cubic and spline methods, such as C. Cc Cs respectively Upload your script file to ninova. 15 369 25 384 30 271 40 24 Time (t) 0 Concentration (mg/L) 0 5 194 • A laboratory test was performed to obtain change of concentration with time. Test results are shown on the table. · The student noticed that one data at t=20s is missing. Please predict this data using the Curve Fitting Toolbox. • Use different methods and see how the value changes. a) Upload the script that you write to create the data set and use the MATLAB® generated code file for a curve fitting method you tried to ninova. b) Upload the MATLAB® generated code file for a curve fitting method you tried to ninova. 10 246 15 369 25 384 30 271 40 24