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Section 1: True/False, & explain why three or more sentences: 2. In the regression model Yi...

Section 1: True/False, & explain why three or more sentences:

2. In the regression model Yi = β0 + β1Xi + β2Di + β3(Xi × Di) + ui, where X is a continuous variable and D is a binary variable, β3 has no meaning since (Xi×Di) = 0 when Di= 0.

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Yes, it is true when =0, = 0 then Yi becomes

so here in the above equation, there is no   , so when =0: has no meaning

The effect of X depends on D

=increment to the effect of X, when D= 1 then Yi becomes

here increment to the effect of X

and when these two   =1 and =0 indicates the difference in slopes of two regression lines

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