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3. Fit a linear regression for In (BetaPlasma) on In (BetaDiet). Write out the regression equation. 4. Interpret the estimated slope of the regression line

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3. Fit a linear regression for In (BetaPlasma) on In (BetaDiet). Write out the regression equation. 4. Interpret the estimated slope of the regression line in the context of the problem. Remember that the interpretation is a different when using In-In transformations. 5. What is the expected value for In (BetaPlasma) when BetaDiet is 2100

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