ANSWER ONLY!!! Will mark wrong if not!!

B) Determine the coefficients for the regression function represented by: What is the estimated regression function? (Round your numerical values to one decimal place.) What might be the reason for this?

D) According to the previous model, on average, how much does a T-top add to the value of a car (in dollars)? (Round your answer to the nearest dollar)

E) Determine the coefficients for the regression function represented by:

What is the estimated regression function? (Round your numerical values to one decimal place.)

F) Of all the regression functions considered here, which do you recommend James use? Note from Luoma: the in the subscripts here.

resprswon model to tiep predid tha orice he con eiped to receive for the cars he ownth ite colected the dana found in table betiow deroribing the mileage (in thousands of mies), x2 the model veac, and x1, the eresence (er absence) of a Fitoo: (o) If Japes nants to vie a Umple lonear reoresbon functise to esimale the seling price of a car, which X varibble da you recommena he use? (b) Ortermine the coefficents for the rroression function represented byi r=bb+b1x1+b2x2 What is the eitimated regresion function? (Roond your numencal values to one deomsl places. r1= Does x2 help to explain the selling price of the cars if x3 is also in the model?. The aquadir o velue ahen the x2 variable is added to a model containing x1. This supgests that model year - significanoy help explain the selang price of can afer mileage is already inctuded in the modet. What might be the reasen for this? Dhese two vanubles could be highly cortelated and therefore they are providing similar information. These two variables couls be highy cepreiated and therefore they are previding very different intornstion. These two vanables are uncorielated and therefore they are providing very different information. theie tive vanables are uncorrelatid and therefore they are providing similar infermation. x indicates a car has a TJfop) Detemmine the coeffients for the segression function represented by: P.=o0+b1x1+2x3 Does x3 bep to explan the seling price of the cars if x1 is aiso in the moder? Expian. The aquited in of value. when the x3 variable is asdes to a model containing x1. This zuggests that the presence (or abencen of a Titog sonificantif help explain the yeiling price of can aher mieape is alreagy inclused in the model, (d) According to the previous model, on average, how much does a T-top add to the value of a car (in dollars)? (Round your answer to the nearest doilar.) (e) Determine the coefficients for the regression function represented by: y=b0+b1x1+b2x2+b1x3 What is the estimated regression function? (Round your numerical values to one decimal place.) y1= (t) Of all the regression functons considered here. which do you recommend lames use? (Note from Dr. Luoma: fonore the "i" in the subseripts here.] pi=b0+b3x1p1=b6+b2x2pi=+b2xjy1=b6+b1x1+b2x2yi=b0+b1x1+b3x3jy1=b0+b1x1+b2x2+b4x32) resprswon model to tiep predid tha orice he con eiped to receive for the cars he ownth ite colected the dana found in table betiow deroribing the mileage (in thousands of mies), x2 the model veac, and x1, the eresence (er absence) of a Fitoo: (o) If Japes nants to vie a Umple lonear reoresbon functise to esimale the seling price of a car, which X varibble da you recommena he use? (b) Ortermine the coefficents for the rroression function represented byi r=bb+b1x1+b2x2 What is the eitimated regresion function? (Roond your numencal values to one deomsl places. r1= Does x2 help to explain the selling price of the cars if x3 is also in the model?. The aquadir o velue ahen the x2 variable is added to a model containing x1. This supgests that model year - significanoy help explain the selang price of can afer mileage is already inctuded in the modet. What might be the reasen for this? Dhese two vanubles could be highly cortelated and therefore they are providing similar information. These two variables couls be highy cepreiated and therefore they are previding very different intornstion. These two vanables are uncorielated and therefore they are providing very different information. theie tive vanables are uncorrelatid and therefore they are providing similar infermation. x indicates a car has a TJfop) Detemmine the coeffients for the segression function represented by: P.=o0+b1x1+2x3 Does x3 bep to explan the seling price of the cars if x1 is aiso in the moder? Expian. The aquited in of value. when the x3 variable is asdes to a model containing x1. This zuggests that the presence (or abencen of a Titog sonificantif help explain the yeiling price of can aher mieape is alreagy inclused in the model, (d) According to the previous model, on average, how much does a T-top add to the value of a car (in dollars)? (Round your answer to the nearest doilar.) (e) Determine the coefficients for the regression function represented by: y=b0+b1x1+b2x2+b1x3 What is the estimated regression function? (Round your numerical values to one decimal place.) y1= (t) Of all the regression functons considered here. which do you recommend lames use? (Note from Dr. Luoma: fonore the "i" in the subseripts here.] pi=b0+b3x1p1=b6+b2x2pi=+b2xjy1=b6+b1x1+b2x2yi=b0+b1x1+b3x3jy1=b0+b1x1+b2x2+b4x32)