I assume the question was how do you do median regression. A full explanation is available at the websites in the sources and related links below.
but unless you are a statistician you will regret reading them.
The simplest practical solution for the two variable case is to create the set of all possible slopes that could exist between all possible combinations of data points. You then order this set from low to high. The median slope is then passed through the median point X and the median point Y to find the intercept. There are a couple of methods to calculate confidence intervals, but I would just suggest a simple non-parametric test. If you have a multi-variate problem I would suggest visiting a statistician as there is no simple way to explain it.
The Least Median of Squares (LMS) method is a robust statistical technique used in regression analysis to minimize the median of the squared residuals, rather than the sum of squared residuals as in ordinary least squares. This approach is less sensitive to outliers and provides a more reliable estimate of the regression parameters when the data contains anomalies. By focusing on the median, LMS helps ensure that the fitted model is more representative of the central tendency of the data.
of, pertaining to, or determined by regression analysis: regression curve; regression equation. dictionary.com
the prefix of regression is regress
setback or regression
The sample regression function is a statistical approximation to the population regression function.
It is not.
The Least Median of Squares (LMS) method is a robust statistical technique used in regression analysis to minimize the median of the squared residuals, rather than the sum of squared residuals as in ordinary least squares. This approach is less sensitive to outliers and provides a more reliable estimate of the regression parameters when the data contains anomalies. By focusing on the median, LMS helps ensure that the fitted model is more representative of the central tendency of the data.
of, pertaining to, or determined by regression analysis: regression curve; regression equation. dictionary.com
Unit regression testing Regional regression testing Full regression testing
Simple regression is used when there is one independent variable. With more independent variables, multiple regression is required.
the prefix of regression is regress
Regression can be measured by its coefficients ie regression coefficient y on x and x on y.
Her regression is smoking.
setback or regression
I don't believe the graphic calculator has a cosine regression tool, but if you go to STAT, and CALC, there is a sin regression tool. If you hit enter on that then insert your L values, it will come up with a sin regression. The sin regression should be the same as a cosine regression, except that the sin regression should have a different value of C, usually getting rid of the value of C altogether will give you the correct regression.
In a regression of a time series that states data as a function of calendar year, what requirement of regression is violated?
i know the facts. What is the reason? For your Regression?