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Which of the following will plot a set of ordered pairs as individual points, then plots the best fit first degree polynomial line for the

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Which of the following will plot a set of ordered pairs as individual points, then plots the best fit first degree polynomial line for the data on top of the points? Plot(X, Y, 'r*'): hold on p = polyfit(X, Y): plot(X, poly(p, X), 'b-'): hold off Plot(X, Y, 'r*'): hold on p = poly (X, Y, 1): plot(X, polyval(p, X), 'b-'): hold off Plot(X, Y, 'r*'): hold on p = polyfit(X, Y, 1): plot(X, poly(p, X), 'b-'): hold off Plot(X, Y, 'r*'): hold on p = poly (X, Y, 1): plot(X, polyval(p, X), 'b-'): hold off None of the above A run time error is when the program a particular statement has an error that keeps that statement from ever running. all statements can run but sometimes encounter a error that causes the program to exit. all statements can run but the program returns an incorrect action or result the program causes the computer to freeze forcing a hard reboot none of the above A recursion error is when the program a particular statement has an error that keeps that statement from ever running. all statements can run but sometimes encounter a error that causes the program to exit all statements can run but the program returns an incorrect action or result the program causes the computer to freeze forcing a hard reboot none of the above The MatLab code that will create a 2x5 matrix with the elements ordered from 1 is x = ones (2, 5): x = matrixspace(2, 5): x = linspace(2, 5, 10): x = [linespace(1, 5, 5): linspace(6, 10, 5)]: None of the above How many elements are in the vector x = [3: 0.7: 9]? 7 9 10 14 None of the above

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