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(mean x, mean y) is always on the regression line.

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โˆ™ 2009-11-06 15:26:23
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A polynomial of degree zero is a constant term

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Q: A point that is always on the regression line?
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Related questions

Given a linear regression equation of equals 20 - 1.5x where will the point 3 15.5 fall with respect to the regression line?

on the lineGiven a linear regression equation of = 20 - 1.5x, where will the point (3, 15) fall with respect to the regression line?Below the line


What does it mean to say that a data point has residual of -1?

The point lies 1 unit below the regression line.


What does it mean to say that a data point has a residual of zero?

The point lies directly on the regression line.


What you mean by residual value?

The point lies one unit above the regression line.


What does it mean to say that data point has a residual of one?

The point lies 1 unit below the regression line.


What is regression coefficient and correlation coefficient?

The strength of the linear relationship between the two variables in the regression equation is the correlation coefficient, r, and is always a value between -1 and 1, inclusive. The regression coefficient is the slope of the line of the regression equation.


What does it mean to say that a data point has a residual of negative one?

The point lies one unit below the regression line.


Do a line and a point intersect?

Not always. Only if the point is on the line. it


Do a line and point intersect?

Not always. Only if the point is on the line. it


Why are there two regression lines?

There are two regression lines if there are two variables - one line for the regression of the first variable on the second and another line for the regression of the second variable on the first. If there are n variables you can have n*(n-1) regression lines. With the least squares method, the first of two line focuses on the vertical distance between the points and the regression line whereas the second focuses on the horizontal distances.


How do you solve regression line?

by regrsioning it.


Is the line of best fit the same as linear regression?

Linear Regression is a method to generate a "Line of Best fit" yes you can use it, but it depends on the data as to accuracy, standard deviation, etc. there are other types of regression like polynomial regression.

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