Consider the population regression model Y = Bo + BXi + BDi + B3(X x D)...

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Consider the population regression model Y₁ = Bo + B₁Xi + B₂Di + B3(X₁ x D₁) + e₁, where X, is a continuous variable and D, is a (0, 1) dummy variable. In this model, B₂ O a. indicates the difference in the slopes of the two regressions. O b. is usually positive. Oc. is the difference in the means in Yi between the two categories. O d. indicates the difference in the intercepts of the two regressions. Consider the population regression model Y₁ = Bo + B₁Xi + B₂Di + B3(X₁ x D₁) + e₁, where X, is a continuous variable and D, is a (0, 1) dummy variable. In this model, B₂ O a. indicates the difference in the slopes of the two regressions. O b. is usually positive. Oc. is the difference in the means in Yi between the two categories. O d. indicates the difference in the intercepts of the two regressions.

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The answer is c In this population regression model BO is the intercept term it is the expected valu... View the full answer