Consider a linear regression model where y represents the response variable and x,d1, and d2 are the predictor variables. Both d1 and d2 are dummy varlables, each assuming values 1 or 0 . A regression model with x1d1,d2, and d1d2, where d1d2 is the interaction variable, is estimated as y^=1.34+0.82x+3.08d11.29d2+0.58d1d2. a-1. Compute y^ for x=5,d1=1, and d2= e. Note: Round your answer to 2 decimal places. a-2. Compute y for x=5,d1=1, and 2=1. Note: Round your answer to 2 decimal places. b-1. Compute y^ for x=5,d1=0, and d2=0. Note: Round your answer to 2 decimal places. b-2. Compute y^ for x=5,d1=0, and d2=1. Note: Round your answer to 2 decimal places