x1=17229;x=x1x1;y=2048 2513 2615 300 261 203 1935 2435 2811 263 314 2692 257 213;pS=polyfitxy2;p Ydelta=polyconfpxS;Ypausex1=170529;Y1=polyconfpx1S;plotxyr+x1Y1pausepolytoolxy2

The code above generates a quadratic polynomial fit to data points (x,y), plots the data points and the polynomial fit, and opens the Polynomial Curve Fitting Tool.

The first line defines a vector x1 with values from 17 to 29 in steps of 2, and the vector x as the concatenation of x1 with itself.

The second line defines a vector y with corresponding y-values for each x-value.

The third line uses the polyfit function to fit a quadratic polynomial to the data, and returns the polynomial coefficients in the vector p, and the estimated error structure in S.

The fourth line uses the polyconf function to compute the confidence intervals for the fitted polynomial, based on the estimated error structure S. The polynomial values at each x-value are stored in the vector Y, and the confidence intervals are stored in the vector delta.

The fifth line pauses the code execution for user input.

The sixth line defines a new vector x1 with values from 17 to 29 in steps of 0.5, and uses the polyconf function to compute the polynomial values and confidence intervals for this new set of x-values.

The seventh line plots the data points as red crosses, and the polynomial fit as a blue line, using the new x-values and the corresponding polynomial values with confidence intervals. The code pauses for user input.

The eighth line opens the Polynomial Curve Fitting Tool, which allows the user to interactively fit polynomials to the data, and visualize the results