Unbiased Slope Estimate in Linear Regression

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TranscendArcu
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Homework Statement



There is the suggestion to use an alternative estimate for the slope $$\beta$$ in the linear regression $$y_i=\alpha+\beta x_i+\epsilon_i$$which is formulated as $$B=(y_{max} -y_{min})/(x_{max} - x_{min})$$

Prove that such a formulation of $$B$$ is unbiased.

Homework Equations


The Attempt at a Solution



I'm actually having a very hard time with this problem and would appreciate the slightest nudge in the right direction. Can anyone assist me with this problem?
 
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TranscendArcu said:

Homework Statement



There is the suggestion to use an alternative estimate for the slope $$\beta$$ in the linear regression $$y_i=\alpha+\beta x_i+\epsilon_i$$which is formulated as $$B=(y_{max} -y_{min})/(x_{max} - x_{min})$$

Prove that such a formulation of $$B$$ is unbiased.

Homework Equations





The Attempt at a Solution



I'm actually having a very hard time with this problem and would appreciate the slightest nudge in the right direction. Can anyone assist me with this problem?

When you write ##y_{\min}##, etc., do you mean the ##y## value that accompanies ##x_{\min}## (that is, ##y_{\min} = f(x_{\min})##) or are ##x_{\min}## and ##y_{\min}## unrelated, each being the min in its own data set?