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derive the general formula for leverage in a regression model using a single binary covariate with

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Answe Leverage- The ocation ot Points in x-space afects the mode Proper ties ike parameter estimatian, Standard ex vor, predicted Value t Simmart statisics ete Leverase is measure of houl farr away independent variakle varue of an observation-from thoie of other abie in identifying the influential observation since 2. is Gittes value and e is residual so the eiements hii o+ k mat be inter preted as thelamount of teverage ex rpreted astheamount of teveragé' excrete b th ohsenation : on th e ith Aies vave : The ith diagmal of di easue o distance f ith o bserva exement at hat matrix is Standard measuie Average size of hat diagonais is Rank CH) k+ wherre S traditinally we assume that ant obsh for whicn hatdiaga exceeds twice average 2f -Ha) Point it we are ordinary teast sgeares seting with 2

noth en, wovds if-the model envrse are homosce- dastic ㄵnobins ever a 9 e score deter mines the degree of nois e in the moders mis Predic tian of theけ 01, n

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Answer 1

Answe Leverage- The ocation ot Points in x-space afects the mode Proper ties ike parameter estimatian, Standard ex vor, predicted Value t Simmart statisics ete Leverase is measure of houl farr away independent variakle varue of an observation-from thoie of other abie in identifying the influential observation since 2. is Gittes value and e is residual so the eiements hii o+ k mat be inter preted as thelamount of teverage ex rpreted astheamount of teveragé' excrete b th ohsenation : on th e ith Aies vave : The ith diagmal of di easue o distance f ith o bserva exement at hat matrix is Standard measuie Average size of hat diagonais is Rank CH) k+ wherre S traditinally we assume that ant obsh for whicn hatdiaga exceeds twice average 2f -Ha) Point it we are ordinary teast sgeares seting with 2

noth en, wovds if-the model envrse are homosce- dastic ㄵnobins ever a 9 e score deter mines the degree of nois e in the moders mis Predic tian of theけ 01, n