Suppose you estimate the sample multiple linear regression function $\hat { y } _ { i } = \hat { \beta } _ { 0 } + \hat { \beta } _ { 1 } x _ { 1 i } + \hat { \beta } _ { 2 } x _ { 2 i } + \hat { \beta } _ { 3 } x _ { 1 i } \cdot x _ { 2 i }$
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What is the estimated marginal effect of x₁? x₂? Explain.

Question

Suppose you estimate the sample multiple linear regression function

\hat { y } _ { i } = \hat { \beta } _ { 0 } + \hat { \beta } _ { 1 } x _ { 1 i } + \hat { \beta } _ { 2 } x _ { 2 i } + \hat { \beta } _ { 3 } x _ { 1 i } \cdot x _ { 2 i }

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What is the estimated marginal effect of x₁? x₂? Explain.

Quizplus · Accepted Answer

The Answer of Suppose you estimate the sample multiple linear regression function $\hat { y } _ { i } = \hat { \beta } _ { 0 } + \hat { \beta } _ { 1 } x _ { 1 i } + \hat { \beta } _ { 2 } x _ { 2 i } + \hat { \beta } _ { 3 } x _ { 1 i } \cdot x _ { 2 i }$ . What is the estimated marginal effect of x₁? x₂? Explain.

Suppose You Estimate the Sample Multiple Linear Regression Function What Is the Estimated Marginal Effect of X1? X2

Suppose You Estimate the Sample Multiple Linear Regression Function
What Is the Estimated Marginal Effect of X₁? X₂