answersLogoWhite

0

Yes, it does exist.

User Avatar

Wiki User

12y ago

Still curious? Ask our experts.

Chat with our AI personalities

ProfessorProfessor
I will give you the most educated answer.
Chat with Professor
DevinDevin
I've poured enough drinks to know that people don't always want advice—they just want to talk.
Chat with Devin
JordanJordan
Looking for a career mentor? I've seen my fair share of shake-ups.
Chat with Jordan

Add your answer:

Earn +20 pts
Q: Weighted Least Squares regression
Write your answer...
Submit
Still have questions?
magnify glass
imp
Continue Learning about Math & Arithmetic

What is weighted residual method?

In estimating a linear relationship using ordinary least squares (OLS), the regression estimates are such that the sums of squares of the residuals are minimised. This method treats all residuals as being as important as others.There may be reasons why the treatment of all residuals in the same way may not be appropriate. One possibility is that there is reason to believe that there is a systematic trend in the size of the error term (residual). One way to compensate for such heteroscedasticity is to give less weight to the residual when the residual is expected to be larger. So, in the regression calculations, rather than minimise the sum of squares of the residuals, what is minimised is their weighted sum of squares.


Is the slope of the Least Squares Regression Line very sensitive to outliers in the x direction with large residuals?

Yes, it is.


What is the slope b of the least squares regression line y equals a plus bx for these data?

The graph and accompanying table shown here display 12 observations of a pair of variables (x, y).The variables x and y are positively correlated, with a correlation coefficient of r = 0.97.What is the slope, b, of the least squares regression line, y = a + bx, for these data? Round your answer to the nearest hundredth.2.04 - 2.05


What is Least Cubic Method?

"Least Cubic Method" Also called "Generalized the Least Square Method", is new Method of data regression.


What does least squares mean?

Compute to the smallest fraction, reduce to the least number