Editing Talk:2048: Curve-Fitting
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:A typical error function is the square of the difference between the fit and the actual data point, hence "sum of squares" method. There are well-known standard formulas for finding m and b in the case of linear regression. In a linear algebra class, I saw a general method that would work for several of these (any where the fit is y = af(x)+bg(x)+...+ch(x), which includes log, exponential, quadratic, cubic, etc). I wish I could remember it. [[User:Blaisepascal|Blaisepascal]] ([[User talk:Blaisepascal|talk]]) 22:39, 19 September 2018 (UTC) | :A typical error function is the square of the difference between the fit and the actual data point, hence "sum of squares" method. There are well-known standard formulas for finding m and b in the case of linear regression. In a linear algebra class, I saw a general method that would work for several of these (any where the fit is y = af(x)+bg(x)+...+ch(x), which includes log, exponential, quadratic, cubic, etc). I wish I could remember it. [[User:Blaisepascal|Blaisepascal]] ([[User talk:Blaisepascal|talk]]) 22:39, 19 September 2018 (UTC) | ||
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:I wish we could include the graphics at the top of [https://en.wikipedia.org/wiki/Linear_regression#Introduction] and [https://en.wikipedia.org/wiki/Linear_regression#Interpretation] in the explanation. A lot of people are going to look at this one. [[Special:Contributions/172.68.133.168|172.68.133.168]] 17:51, 20 September 2018 (UTC) | :I wish we could include the graphics at the top of [https://en.wikipedia.org/wiki/Linear_regression#Introduction] and [https://en.wikipedia.org/wiki/Linear_regression#Interpretation] in the explanation. A lot of people are going to look at this one. [[Special:Contributions/172.68.133.168|172.68.133.168]] 17:51, 20 September 2018 (UTC) | ||
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The data points do not have error bars, which makes the choice of fit even more ludicrous, in my opinion. If the data are that good, then I don't believe there is a correlation, it's random with some distribution. I might hang this up at work...[[User:Arppix|Arppix]] ([[User talk:Arppix|talk]]) 02:46, 20 September 2018 (UTC) | The data points do not have error bars, which makes the choice of fit even more ludicrous, in my opinion. If the data are that good, then I don't believe there is a correlation, it's random with some distribution. I might hang this up at work...[[User:Arppix|Arppix]] ([[User talk:Arppix|talk]]) 02:46, 20 September 2018 (UTC) |