this is the information to solve each part

The Toyota Camiry is one of the best-selling cars in North Americe. The cost of a previously owned Camry depends on many factors, indiuding the model yeac, mileage, and condition. To livestigate the retationship between the car's mileage and the sales price for Camiys, the following cota show the milesge and sale price for 19 cales The scatter chart indicates there may be a positive linear relationship between price and miles. The scatter chart indicates there may be a negative linear relationship between price and miles. The scatter chart indicates there may be no noticeable linear relationship between price and miles. (b) Develop an estimated regression equation showing how price in thousands of dollars (y) is related to miles in thousands (n). What is the estimated regression moder? (Round your numerical values to three decimal pleses.) =x (c) Test whether the regression parameter 0 is cqual to zero at a 0.01 level of significance. find the p-value, (Round your ansaer to four decimul places.) p-value = x Stme your conctusian. We reject H0. We can conclude that the y-mercept is ast equal to tore. We fail to rejed H0 We can condude that the rinterceat is not equal to rero. We resect H3. We cannot conoude that the r-interceot is not equal to ree0. we fal to reject H0. We cannot conduse that the r intercept is not equal to rere Fest whether the regrecsion parameter 2 is equal to rero at * 0.01 level of mgnincance tUse tha t that.) Find the pivalue. (Round your answer to four deamal glaces.) p-vale =0053x State your concluwion. We fal ta reject HG. We cannot canclude that buere is a relationiship between price and mes. We reject Nb. We cannet conetude trat there is a relabionship between price and miel. We fail ro reject H0. We can condube that tiere is a reutionithip betieen price and milke. We reject H0. We can canduage that there is a relabonvip betwoen pice and milei o We reject H0. We can conclude that there is a relationship between price and miles. What are the correct linterpretations of the estimeted regression purameters? P0 is our estimate of the change in price in thousands of dollers for a increase of 1,000 miles. f1 is our estimate of the price in thousands of dollars ahen the number of milns is aero. %0 is out estimate of the miles in theusands when the price is rero. 1 is our estimate of the change in mies in thousands for a 11,000 increbse in price. B 6 is our estimste of the price in theusands of collars when the number of mies is tero, f1 is our estimace of the change in price in thousands of dolars for a increase of 1 , 00o miles. P is our estimate of the change in mines in thousandi fer a $1,000 increase in price. g4 is cur estimate of the miles in bhessands when the price is zero. Are these interpretationt reasenatie? The imterpretation of A0, thasonstie and the interpretation of p1 reasonatic. (d) Hon much of the varation in the sample values of price (in w) does the model entimated in part (b) expiain) (llound your answer te two decimal placts? (e) For the model evtimated in part (b), caiculate the predicted price and revidual for each automoble in the data. Identify the two automobiles that nere the bigeeit bargens. (Bound yejt answen to the nearest ivegen) The beut bargain is the Camoy a The secune best bargais is the Camry in be date set, whion has miles, and selis for s X les than as greacted price (7) 5uppose that you are considering purchasing a previousy omned Camry thet has been driven 65,000 males. Use the estimated regrewion equabios developed in part (b) to predlct the prike (in doliars) for this car (Round your antwer to the nearest integer.) Is this the price rou wouls orfer the selier? The Toyota Camiry is one of the best-selling cars in North Americe. The cost of a previously owned Camry depends on many factors, indiuding the model yeac, mileage, and condition. To livestigate the retationship between the car's mileage and the sales price for Camiys, the following cota show the milesge and sale price for 19 cales The scatter chart indicates there may be a positive linear relationship between price and miles. The scatter chart indicates there may be a negative linear relationship between price and miles. The scatter chart indicates there may be no noticeable linear relationship between price and miles. (b) Develop an estimated regression equation showing how price in thousands of dollars (y) is related to miles in thousands (n). What is the estimated regression moder? (Round your numerical values to three decimal pleses.) =x (c) Test whether the regression parameter 0 is cqual to zero at a 0.01 level of significance. find the p-value, (Round your ansaer to four decimul places.) p-value = x Stme your conctusian. We reject H0. We can conclude that the y-mercept is ast equal to tore. We fail to rejed H0 We can condude that the rinterceat is not equal to rero. We resect H3. We cannot conoude that the r-interceot is not equal to ree0. we fal to reject H0. We cannot conduse that the r intercept is not equal to rere Fest whether the regrecsion parameter 2 is equal to rero at * 0.01 level of mgnincance tUse tha t that.) Find the pivalue. (Round your answer to four deamal glaces.) p-vale =0053x State your concluwion. We fal ta reject HG. We cannot canclude that buere is a relationiship between price and mes. We reject Nb. We cannet conetude trat there is a relabionship between price and miel. We fail ro reject H0. We can condube that tiere is a reutionithip betieen price and milke. We reject H0. We can canduage that there is a relabonvip betwoen pice and milei o We reject H0. We can conclude that there is a relationship between price and miles. What are the correct linterpretations of the estimeted regression purameters? P0 is our estimate of the change in price in thousands of dollers for a increase of 1,000 miles. f1 is our estimate of the price in thousands of dollars ahen the number of milns is aero. %0 is out estimate of the miles in theusands when the price is rero. 1 is our estimate of the change in mies in thousands for a 11,000 increbse in price. B 6 is our estimste of the price in theusands of collars when the number of mies is tero, f1 is our estimace of the change in price in thousands of dolars for a increase of 1 , 00o miles. P is our estimate of the change in mines in thousandi fer a $1,000 increase in price. g4 is cur estimate of the miles in bhessands when the price is zero. Are these interpretationt reasenatie? The imterpretation of A0, thasonstie and the interpretation of p1 reasonatic. (d) Hon much of the varation in the sample values of price (in w) does the model entimated in part (b) expiain) (llound your answer te two decimal placts? (e) For the model evtimated in part (b), caiculate the predicted price and revidual for each automoble in the data. Identify the two automobiles that nere the bigeeit bargens. (Bound yejt answen to the nearest ivegen) The beut bargain is the Camoy a The secune best bargais is the Camry in be date set, whion has miles, and selis for s X les than as greacted price (7) 5uppose that you are considering purchasing a previousy omned Camry thet has been driven 65,000 males. Use the estimated regrewion equabios developed in part (b) to predlct the prike (in doliars) for this car (Round your antwer to the nearest integer.) Is this the price rou wouls orfer the selier