predicted value iknely to be a good estimale? is that predicled value thely to be very accurate? Cick the icon to vien the mutple regression modets The best prodeted value of thes malos weight is (Round to the neavest whole nunber as nooded) Is that predicted value likely lo bur a good estenale? becrise the is that predicted value thely to be very accirate? because the bish means that the model presticted value akaty to be a good erturnate? Is that riesicted vakin thely to be very accurde? Chick the icon to view the multexe iegiession modeh The best predcted value of this mawis weight is (fround to the neacest whow number as needed) is that piredicted value liknly to be a good estmate? bredicted volue lakely to be a good estenale? is that prede fed value liknty to be wery sccurabo? (i) Cack the xcon fo view the matigle regressuon moskek. The best prodicted valoe of the maich werght is (Fiocind to the newrest whoke nurber is needed.) is that prodictod value whely to be a good estemate? Tho teect prodested valus of this makn wergte a (Ficund is the nearent whot minter at neoded ) Is that predicted watue likely io be a pood estimate? thecaise Rere Is that predctiod vulue isely to be very accurale? Cimk the kion be vur the nityie tegrison itwodeks The test prodicted wulut of exs thakio whont a As that prectiched ralai lany ti ber a good estmater. (h) Rhat prodetad wither lany to be very aconule? Is mught not. The accumpaming tabwe of cecumfertion in cml aret A. predicted palion likely in ber it chis the wan fo wwer if sampoo wiev in lego toit it may not te tandon. The best proshctent valie of (fiound fo low rewent about a toushed R2 ivalue is low and the povalue is high, ks trat perdictont a alo ikxy cingle site is smal but if may not be rendent. Is that gundictond value thely sartcie size is taige and the sarride was eandomly selectod. The best proskeled vishe of Exs thaws mogrd wh h. That pridicted value thefy to be a good estuhate? predicted value iknely to be a good estimale? is that predicled value thely to be very accurate? Cick the icon to vien the mutple regression modets The best prodeted value of thes malos weight is (Round to the neavest whole nunber as nooded) Is that predicted value likely lo bur a good estenale? becrise the is that predicted value thely to be very accirate? because the bish means that the model presticted value akaty to be a good erturnate? Is that riesicted vakin thely to be very accurde? Chick the icon to view the multexe iegiession modeh The best predcted value of this mawis weight is (fround to the neacest whow number as needed) is that piredicted value liknly to be a good estmate? bredicted volue lakely to be a good estenale? is that prede fed value liknty to be wery sccurabo? (i) Cack the xcon fo view the matigle regressuon moskek. The best prodicted valoe of the maich werght is (Fiocind to the newrest whoke nurber is needed.) is that prodictod value whely to be a good estemate? Tho teect prodested valus of this makn wergte a (Ficund is the nearent whot minter at neoded ) Is that predicted watue likely io be a pood estimate? thecaise Rere Is that predctiod vulue isely to be very accurale? Cimk the kion be vur the nityie tegrison itwodeks The test prodicted wulut of exs thakio whont a As that prectiched ralai lany ti ber a good estmater. (h) Rhat prodetad wither lany to be very aconule? Is mught not. The accumpaming tabwe of cecumfertion in cml aret A. predicted palion likely in ber it chis the wan fo wwer if sampoo wiev in lego toit it may not te tandon. The best proshctent valie of (fiound fo low rewent about a toushed R2 ivalue is low and the povalue is high, ks trat perdictont a alo ikxy cingle site is smal but if may not be rendent. Is that gundictond value thely sartcie size is taige and the sarride was eandomly selectod. The best proskeled vishe of Exs thaws mogrd wh h. That pridicted value thefy to be a good estuhate