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Suppose You Estimate the Sample Multiple Linear Regression Function y^i=β^0+β^1x1i+β^2x2i\hat { y } _ { i } = \hat { \beta } _ { 0 } + \hat { \beta } _ { 1 } x _ { 1 i } + \hat { \beta } _ { 2 } x _ { 2 i }

Question 31

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Suppose you estimate the sample multiple linear regression function y^i=β^0+β^1x1i+β^2x2i\hat { y } _ { i } = \hat { \beta } _ { 0 } + \hat { \beta } _ { 1 } x _ { 1 i } + \hat { \beta } _ { 2 } x _ { 2 i }
where x2i is a binary dummy variable equal to 1 if the individual possess a given characteristic and 0 if he or she does not.Demonstrate and explain how to interpret β^2\hat { \beta } _ { 2 }
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