to take in a set of x and y data, perform the least squares regression, and use the coefficients to predict values for the x values given and print the x, y and predicted y values.
Input should come from A FILE in the form: x y. The x-values should be read in to one floating point array and the y-values into another floating point array, so that the array index (element) identifies the dependent (y) and independent (x) values that belong together. For example, the first x, y values will be stored in position (or element, or index) 1 in each of the array of x values and array of y values. Reading of the values should be accomplished using a function called in the following way:
your problem is simple, first use "load" functiom to load both of your files (for x and y) then you can use "polyfit" function to perform the least square regression and you are all set. in case you have not used "polyfit" before:
polyfit finds the coefficients of a best-fit polynomial of any required degree. The following codes tries to fit a degree 3 polynomial to a sin curve
x=1:10; y=sin(x); [P,S] = polyfit(x,y,3); yfit= polyval(P,x); %Now compare y with yfit plot(x,y,x,yfit);you may also like to visit kluid (http://www.kluid.com), it is the matlab forum from where, I generally take help on matlab.
b4 : ]
Quote originally posted by default ...
hi i'm not sure how to start this program.
The program is:
to take in a set of x and y data, perform the least squares regression, and use the coefficients to predict values for the x values given and print the x, y and predicted y values.
Input should come from A FILE in the form: x y. The x-values should be read in to one floating point array and the y-values into another floating point array, so that the array index (element) identifies the dependent (y) and independent (x) values that belong together. For example, the first x, y values will be stored in position (or element, or index) 1 in each of the array of x values and array of y values. Reading of the values should be accomplished using a function called in the following way:
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