Consider again the following regression model estimated by OLS:hat(Y)i=hat(β)0+hat(β)1xi,i=1,dots,nwith widehat(Cov)(x,Y)=2,widehat(Var)(x)=1,bar (Y)=5, and x‾=2.5. Then hat(β)0 equals:43210
Consider again the following regression model estimated by OLS:hat(Y)i=hat(β)0+hat(β)1xi,i=1,dots,nwith widehat(Cov)(x,Y)=2,widehat(Var)(x)=1,bar (Y)=5, and x‾=2.5. Then hat(β)0 equals:43210
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