We want to predict y=salaries for people with the same job title based on x1=months at...

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We want to predict y=salaries for people with the same job title based on x1=months at that job and x2=gender (coded as males=0, females=1) using the model: y=a+B1X1+B2X2 + B3X1X2 + Identify the following coefficients: alpha= [Select] < beta1= [Select] beta2= [Select] beta3= [Select] > > The baseline group is: males > [Select] > This model [Select] When look If we think contains an interaction term, which, if significant, would mean there are different intercepts for different job titles contains an interaction term, which, if significant, would mean there are different slopes for different job titles does not contain an interaction term, which forces the equations for males and females to be identical contains an interaction term, which, if significant, would mean there are different intercepts for males and females does not contain an interaction term, which forces the equations for males and females to be parallel The error term means that: famales We want to predict y=salaries for people with the same job title based on x1=months at that job and x2=gender (coded as males=0, females=1) using the model: y=a+B1X1+B2X2 + B3X1X2 + Identify the following coefficients: alpha= [Select] < beta1= [Select] beta2= [Select] beta3= [Select] > > The baseline group is: males > [Select] > This model [Select] When look If we think contains an interaction term, which, if significant, would mean there are different intercepts for different job titles contains an interaction term, which, if significant, would mean there are different slopes for different job titles does not contain an interaction term, which forces the equations for males and females to be identical contains an interaction term, which, if significant, would mean there are different intercepts for males and females does not contain an interaction term, which forces the equations for males and females to be parallel The error term means that: famales