# Tagged Questions

Questions on (linear or nonlinear) regression, the fitting of functions that best approximate empirical data.

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### Finding the intersection point of many lines in 3D (point closest to all lines)

I have many lines (let's say 4) which are supposed to be intersected. (Please consider lines are represented as a pair of points). I want to find the point in space which minimizes the sum of the ...
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### Given a data set, how do you do a sinusoidal regression on paper? What are the equations, algorithms?

Most regressions are easy. Trivial once you know how to do it. Most of them involve substitutions which transform the data into a linear regression. But I have yet to figure out how to do a ...
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### Polynomial fitting - how to fit and what is _polynomial fitting_

I don't understand what is polynomial fitting. Can anyone explain me how to fit a curve to given points?
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### Linear trend has to pass through a point

I need to interpolate a linear trend surface through a number of points but with the condition that the surface has to pass exactly through one of them. Can somebody give me any advice?
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### Iterative Power Regression

If I have a set of data points that would fit inside a power equation of the form y = a*x^b, what is the best ITERATIVE method to find the values of 'a' and 'b'. I thought I could compute the error ...
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### An example of when pearson or regression analysis is drastically different to spearman?

Im looking into spearmans rank. I know pearson and regression struggles with curves, but does anyone have any example of when pearson or regression differs with spearman and what this means? Ideally ...
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### Proving that the estimate of a mean is a least squares estimator?

I think this is a really simple question so please bear with me -- I just had my first class in regression and I'm a little confused about nomenclature/labeling. Does anyone recommend some good ...
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### Polynomial and exponential regression [duplicate]

Possible Duplicate: Determining computational complexity of stochastic processes I have some points $(x_i,y_i)$ generated by a program. These values are not exact, but are random fluctuations ...
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### Closed form for coefficients in Multiple Regression model

I want to find $\hat{\beta}$ in ordinary least squares s.t. $\hat{Y} = \hat{\beta}_0 + \hat{\beta}_1 X_1 + \cdots + \hat{\beta}_n X_n$. I know the way to do this is through the normal equation using ...