mExo on at oM Sansq o 2 The folowing table shows the overtime and salary for employees in a database of a batididoiq ai epsugnsl ynG ni no Jasbiont No phGG OV91 liw mot yne ni pnteerb irigurn...

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Extracted text: mExo on at oM Sansq o 2 The folowing table shows the overtime and salary for employees in a database of a batididoiq ai epsugnsl ynG ni no Jasbiont No phGG OV91 liw mot yne ni pnteerb irigurn Insurance company. avol0g banpizaG yd ebem fioger Josbiont Y (Salary) ho neg xosld 10 Buld sau X (OverTime) 25O1 Vnte eno gniog al maxo srtt elirlw juo gn 12ot antt anowens ert ehweennoitasup tzel edt no phirlyns etw ton oO WlaT 46 V le9t ogyl rose to noitounteni orlt wollol bns beaR 6 11 TahGMor) yitoh90enoiteoup gniwollot ortt 1owerA : AEWENA TROH8 maeglo to zeso0ig gata owi erit elenleu 21 8 50 olsinetathS Use the method of least squares to find an equation for the prediction of a employee's salary based on the overtime of the employee. mainco to phibneterobonu gosb oteua eoldu 3. The following table consists of training data from an Sailing database. The data ul se aliste0= 2 have been generalized. Given a data tuple having the values for the attributes Qutlook. Company Sailboat respectively. what would a naive Bayesian novip erl osylenA OWI.JO2 M classification of the sail for the tuple be? Let Sail be the class label attribute witom nozutno ert pniau lebet bns noia barilba