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Calculating R-squared value
I want to calculate the R-squared value on chart with an Excel formula. But the R-squared value has to be a 2nd order polynomial.
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Calculating R-squared value
I think R-squared has already been defined. It is a single number.
Perhaps you could restate your question. Do you mean you want to calculate the R-squared value for a second order polynomical fit to the data? Look at the LINEST function. -- Regards, Tom Ogilvy "Metin" wrote in message ... I want to calculate the R-squared value on chart with an Excel formula. But the R-squared value has to be a 2nd order polynomial. |
Calculating R-squared value
Also, for a chart, you can add a trendline and in that dialog specify the
fit to be a polynomial of order 2 and have it display the R-squared value (second tab in the dialog). -- Regards, Tom Ogilvy "Metin" wrote in message ... I want to calculate the R-squared value on chart with an Excel formula. But the R-squared value has to be a 2nd order polynomial. |
Calculating R-squared value
I'm afraid the function LINEST is not the function I'm looking for.
You are mistaken about LINEST. It can be used to fit a second degree polynomial (or higher). You can see how Bernard Liengme solves for the coefficients of a polynomial curve using LINEST. http://www.stfx.ca/people/bliengme/E...Polynomial.htm -- Regards, Tom Ogilvy "Metin" wrote in message ... Yes, I mean that I want to calculate the R-squared value for a second order polynimical fit of the data. I'm afraid the function LINEST is not the function I'm looking for. LINEST calculates for a straigt line. The equation for the LINEST line is y = mx + b. The equation of the line I'm looking for has to be y = m1x^2 + m2x + b. |
Calculating R-squared value
Thanks a lot Tom
It is solved the way of Bernard Liengme. |
Calculating R-squared value
AWESOME! A very special thanks for that tip to Tom and especially to
Bernard. Tom Ogilvy wrote: I'm afraid the function LINEST is not the function I'm looking for. You are mistaken about LINEST. It can be used to fit a second degree polynomial (or higher). You can see how Bernard Liengme solves for the coefficients of a polynomial curve using LINEST. http://www.stfx.ca/people/bliengme/E...Polynomial.htm |
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