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Suppose You Estimate the Sample Multiple Linear Regression Function  logy^i=β^0+β^1x1i+β^2logx2i\ \widehat {log y} _ { i } = \hat { \beta } _ { 0 } + \hat { \beta } _ { 1 } x _ { 1 i } + \hat { \beta } _ { 2 } \log x _ { 2 i }

Question 11

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Suppose you estimate the sample multiple linear regression function  logy^i=β^0+β^1x1i+β^2logx2i\ \widehat {log y} _ { i } = \hat { \beta } _ { 0 } + \hat { \beta } _ { 1 } x _ { 1 i } + \hat { \beta } _ { 2 } \log x _ { 2 i }
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Explain how to interpret β^2\hat { \beta } _ { 2 }
.

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In this case blured image - the estimated percentage...

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