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In the Regression Model Yi=β0+β1Xi+β2Di+β3(Xi×Di)+uiY _ { i } = \beta _ { 0 } + \beta _ { 1 } X _ { i } + \beta _ { 2 } D _ { i } + \beta _ { 3 } \left( X _ { i } \times D _ { i } \right) + u _ { i }

question 15

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In the regression model Yi=β0+β1Xi+β2Di+β3(Xi×Di) +uiY _ { i } = \beta _ { 0 } + \beta _ { 1 } X _ { i } + \beta _ { 2 } D _ { i } + \beta _ { 3 } \left( X _ { i } \times D _ { i } \right) + u _ { i } where X is a continuous variable and D is a binary variable, β2\beta _ { 2 }

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