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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.

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โˆ™ 2010-03-01 17:04:45
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A polynomial of degree zero is a constant term

The grouping method of factoring can still be used when only some of the terms share a common factor A True B False

The sum or difference of p and q is the of the x-term in the trinomial

A number a power of a variable or a product of the two is a monomial while a polynomial is the of monomials

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Q: Why are there two regression lines?
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Why is point of intersection of two regression lines median?

It is not.

Where is point of intersection of two regression lines?

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Regression Analysis:The average relationship between two or more variable.In English: Regression Mean Stepping back or moving toward the average.

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I like to use age and height in a scatter plot using male and female separate then together. It shows two lines of regression.

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.

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Regression analysis describes the relationship between two or more variables. The measure of the explanatory power of the regression model is R2 (i.e. coefficient of determination).

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Regression analysis is a statistical technique to measure the degree of linear agreement in variations between two or more variables.

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of, pertaining to, or determined by regression analysis: regression curve; regression equation.

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Unit regression testing Regional regression testing Full regression testing

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