a. Using algebra, establish an alternative expression [b_{1}=frac{sum_{i=1}^{n} text { weight }_{i} times text { slope }_{i}}{sum_{i=1}^{n}
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a. Using algebra, establish an alternative expression
\[b_{1}=\frac{\sum_{i=1}^{n} \text { weight }_{i} \times \text { slope }_{i}}{\sum_{i=1}^{n} \text { weight }_{i}} .\]
Here, slope \(_{i}\) is the slope between \(\left(x_{i}, y_{i}\right)\) and \((\bar{x}, \bar{y})\). Give a precise form for the weight weight \(i\) as a function of the explanatory variable \(x\).
b. Suppose that \(\bar{x}=4, \bar{y}=3, x_{1}=2\) and \(y_{1}=6\). Determine the slope and weight for the first observation, that is, slope \(_{1}\) and weight \(_{1}\).
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Related Book For
Regression Modeling With Actuarial And Financial Applications
ISBN: 9780521135962
1st Edition
Authors: Edward W. Frees
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