5.14Program lsqfit from Example 5.6 required you to specify the number of inputdata points before entering the values. Modify the program so that it reads anarbitrary number of data values using a while loop, and stops reading inputvalues when the user presses the Enter key without typing any values. Test your program using the same two data sets that were used in Example 5.6. (Hint: Theinput function returns an empty array ([]) if you press “Enter” without supplying any data. You can use function isempty to test for an empty array, andstop reading data when one is detected.) Using MATLAB &응응응| Chapter 5 Loops and Vectorization%%%%%%%%%&&&&%&%Purpose:To perform a least-squares fit of an input data setto a straight line, and print out the resulting slopeand intercept values. The input data for this fitcomes from a user-specified input data file.Record of revisions:Date4. Turn the algorithm into MATLAB statementsThe final MATLAB program is as follows:end====01/30/18 S. J. ChapmanDefine variables:iin_pointsslopesum_xsum x2sum_xysum_ytempXx_baryy_bary_int=----Programmer==========-------- Sum of all input x values--Sum of all input x values squaredSum of all input x*y yaluesSum of all input y valuesVariable to read user inputArray of x values.Average x valueArray of y valuesAverage y valuey-axis intercept of the line.----Description of changeLoop indexNumber in input [x y] pointsSlope of the linedisp('This program performs a least-squares fit of an');disp('input data set to a straight line.');n_pointsinput('Enter the number of input [x y points: ');Read the input data1:n_points==‒‒‒‒‒‒Original codefor iitemp = input ('Enter [x y] pair: ');x(ii)temp (1);y (ii) = temp (2); Accumulate statisticssum_x = 0;sum_y = 0;sum_x2 = 0;sum_xy = 0;for ii = 1:n_pointsendsum_x = sum_x + x(ii);sum_y = sum_y + y(ii);sum x2 = sum_x2 + x(ii)^2;sum_xy = sum_xy + x(ii) * y(ii);Now calculate the slope and intercept.x_bar = sum_x / n_points;y bar = sum_y / n_points;slopey_int =(sum_xysum_x * y_bar) / (sum_x2y_bar slope * x_bar;Tell user.disp('Regression coefficients for the least-squares line: ');= $8.3f
', slope);fprintf( Slope (m)fprintf(Intercept (b) = 8.3f
', y_int);fprintf(' No. of points = %8d
', n_points);Create the fitted line.xmin = min(x);xmax = max (x);ymin = slope* xmin+y_int;ymax = slope xmax+y_int;sum_x * x_bar);Plot the data points as blue circles with noconnecting lines.plot (x, y, 'bo');hold on;5.5 Additional Examples | 239Add a title and legendtitle ('\bfLeast-Squares Fit');Plot a solid red line with no markersplot ( [xmin xmax], [ymin ymax], 'r-', 'LineWidth', 2);hold off;xlabel('\bf\itx');ylabel('\bf\ity');legend (Input data', 'Fitted line');grid on

Question

5.14Program lsqfit from Example 5.6 required you to specify the number of inputdata points before entering the values. Modify the program so that it reads anarbitrary number of data values using a while loop, and stops reading inputvalues when the user presses the Enter key without typing any values. Test your program using the same two data sets that were used in Example 5.6. (Hint: Theinput function returns an empty array ([]) if you press “Enter” without supplying any data. You can use function isempty to test for an empty array, andstop reading data when one is detected.) Using MATLAB &응응응| Chapter 5 Loops and Vectorization%%%%%%%%%&&&&%&%Purpose:To perform a least-squares fit of an input data setto a straight line, and print out the resulting slopeand intercept values. The input data for this fitcomes from a user-specified input data file.Record of revisions:Date4. Turn the algorithm into MATLAB statementsThe final MATLAB program is as follows:end====01/30/18 S. J. ChapmanDefine variables:iin_pointsslopesum_xsum x2sum_xysum_ytempXx_baryy_bary_int=----Programmer==========-------- Sum of all input x values--Sum of all input x values squaredSum of all input x*y yaluesSum of all input y valuesVariable to read user inputArray of x values.Average x valueArray of y valuesAverage y valuey-axis intercept of the line.----Description of changeLoop indexNumber in input [x y] pointsSlope of the linedisp('This program performs a least-squares fit of an');disp('input data set to a straight line.');n_pointsinput('Enter the number of input [x y points: ');Read the input data1:n_points==‒‒‒‒‒‒Original codefor iitemp = input ('Enter [x y] pair: ');x(ii)temp (1);y (ii) = temp (2); Accumulate statisticssum_x = 0;sum_y = 0;sum_x2 = 0;sum_xy = 0;for ii = 1:n_pointsendsum_x = sum_x + x(ii);sum_y = sum_y + y(ii);sum x2 = sum_x2 + x(ii)^2;sum_xy = sum_xy + x(ii) * y(ii);Now calculate the slope and intercept.x_bar = sum_x / n_points;y bar = sum_y / n_points;slopey_int =(sum_xysum_x * y_bar) / (sum_x2y_bar slope * x_bar;Tell user.disp('Regression coefficients for the least-squares line: ');= $8.3f
', slope);fprintf( Slope (m)fprintf(Intercept (b) = 8.3f
', y_int);fprintf(' No. of points = %8d
', n_points);Create the fitted line.xmin = min(x);xmax = max (x);ymin = slope* xmin+y_int;ymax = slope xmax+y_int;sum_x * x_bar);Plot the data points as blue circles with noconnecting lines.plot (x, y, 'bo');hold on;5.5 Additional Examples | 239Add a title and legendtitle ('\bfLeast-Squares Fit');Plot a solid red line with no markersplot ( [xmin xmax], [ymin ymax], 'r-', 'LineWidth', 2);hold off;xlabel('\bf\itx');ylabel('\bf\ity');legend (Input data', 'Fitted line');grid on

Accepted Answer

Command is empty in MATLAB is used to check whether the given array is empty or not.
Is empty(y)…

4. Turn the algorithm into MATLAB statements The final MATLAB program is as follows: Purpose: To perform a least-squares fit of an input data set to a straight line, and print out the resulting slope and intercept values. The input data for this fit comes from a user-specified input data file.