Consider the regression model Yi = β0 + β1X1i + β2X2i + β3(X1i * X2i) +ui. a. ΔY>/ΔX1 = β1 + β3X2 (effect of change in X1, holding X2 constant).b. ΔY/ΔX2 = β2 + β3X1 (effect of change in X2, holding X1 constant).c. If X1 changes by ΔX1 and X2 changes by ΔX2, then ΔY =(β1+β3X2)ΔX1 + (β2 + β3X1)ΔX2 + β3ΔX1ΔX2.

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Consider the regression model Yi = β0 + β1X1i + β2X2i + β3(X1i * X2i) +
ui
a. ΔY>/ΔX1 = β1 + β3X2 (effect of change in X1, holding X2 constant).
b. ΔY/ΔX2 = β2 + β3X1 (effect of change in X2, holding X1 constant).
c. If X1 changes by ΔX1 and X2 changes by ΔX2, then ΔY =
13X2)ΔX1 + 2 + β3X1)ΔX2 + β3ΔX1ΔX2.

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