PROBLEM 7. Linear Regression We consider the following 3 data-points $B_1 = (-2 | -1)$ (5) $B_2 = (+3 | +1)$ (6) $B_3 = (+4 | +2)$ (7) (8) Calculate the equation of the regression-line $f(x) = \hat{y} = \hat{a} + \hat{b} \cdot x$. A $y = (\frac{1}{3}) + (\frac{1}{3}) \cdot x$ B $y = (\frac{1}{3}) + (\frac{1}{3}) \cdot x$ C $y = (\frac{1}{3}) + (\frac{1}{3}) \cdot x$ D $y = (\frac{1}{3}) + (\frac{1}{3}) \cdot x$ E $y = (\frac{1}{3}) + (\frac{1}{3}) \cdot x$ F $y = (\frac{1}{3}) + (\frac{1}{3}) \cdot x$ G $y = (\frac{1}{3}) + (\frac{1}{3}) \cdot x$ H None of the answers A to G is correct
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Step 1: The equation of the regression line is given by: $$f(z) = \hat{y} = \hat{a} + \hat{b} \cdot z$$ where $\hat{a}$ is the y-intercept and $\hat{b}$ is the slope. Show more…
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