The toyota camry is one of the best-selling cars in north america. the cost of a preciously owned camry depends on many factors, including the model year, mileage, and condition. to investigate the relationship between the car's mileage and the sales price for camrys, a data scientist collects the mileage and sale price for 124 recent sales of toyota camrys. i need help from a-f

The plet of resifuals shem Decause there is ievexant evidence of a wolumen of the condeons, we with our inference. The Toyota Camry is one of the best-selling Cars in North America. The cost of a previously owned Camry depends on many factors, including the model year, mileage, and condition. To investigate the relationship between the car's mileage and the sales price for Camrys, a data scientist collects the the inileage and sale price for 124 recent sales of Toyota Camrys. The scatter chart reveas a relationship between a Camrys miles and its price. (b) A regression output of the data, with miles as the independent wariable x, is shown below. What is the escimuled linear regression equatien that can be used to predict how price is related to miles? Found your answers to three decimal places. for subtractive or nequave numbers use a minus sign even if there is a +sign befoce the blank. 9. Is the interpretation of 0 reasonable? The interpretation is 0.01. slgndicantly contribute to the price. conclude that the What is the interpretation of ? The is expected th when the Test whether t is significant at a=0.05. Ho: Ht= The p value because the y insercept flas been estimated through significant linear telationship between a Camrys miles and price 60. We conclude that there is What is the interpretation of ? ? The is expected te when the is the interpretation of 1 reasonable? The interpretation is because the prike is expected to as the milewge (d) How much of the variation in the sample values of price does the model estimated in part (b) explyin? If required, round your answer to one decimal place. (e) For the model estimated in part (b) where in the scatter chart and the plot of resideals would you expect to find the automobles represencing the biegest bargans? The biggest bargains are to be found of the scatter chart and plot of reviduals becauve those data points carrespond to those Carrogs wath an wctual price that is than the price the model predicts. (f) Suppose that you are considering purchasing a previously owned Cimry that has been driven 110.000 miks. Use the estimated regreswon equabion entered in part toj to predet the price for this car, s this the price you would offer the sellen? Depending on other factors not considered in the nodel fwarious eptions, the plysical condeion of the bedy and interier, etez as be femonably expected to be paid for a Camry that has been driven 110,000 milos" \begin{tabular}{|c|c|c|c|c|c|c|c|c|} \hline 17 & $1.36 & 18.5 & 88.29 & 35.5 & 59.46 & 36.6 & 88.41 & 24.6 \\ \hline 18 & 34.83 & 46.1 & 90.98 & 21.7 & 51.19 & 32.3 & 113.97 & 22.6 \\ \hline 19 & 93.06 & 24 & 75.39 & 26.9 & 80.54 & 29.1 & 68.14 & 23.9 \\ \hline 20 & 116.49 & 158 & 28.20 & 22.4 & 17.71 & 35.3 & 137 & 31.8 \\ \hline 21 & 68.08 & 21.4 & 102.03 & 29.2 & 70.23 & 33.7 & 71.62 & 34.2 \\ \hline 22 & 29.90 & 29.7 & 28.38 & 293 & 21.03 & 23.8 & 76.41 & 22.6 \\ \hline 23 & 39.98 & 24.5 & 45.44 & 392 & 49.85 & -337 & 35,10 & 24.9 \\ \hline 24 & 98,06 & 243 & 44.82 & 38.3 & 85.39 & 25.6 & 80,65 & 19.7 \\ \hline 25 & 44,43 & 22.9 & 74.81 & 27.4 & 3330 & 32.1 & 9651 & 226 \\ \hline 26 & 22.90 & 41,8 & 33.22 & 43.8 & 102.52 & 24 & 97.28 & 25.6 \\ \hline 27 & 5213 & 31,4 & 2930 & 26.2 & 82.67 & 33.8 & 6220 & 32.5 \\ \hline 28 & 57.72 & 18.9 & 17.73 & 36 & 17.86 & 28.3 & 3328 & 36 \\ \hline 29 & 6789 & 21.7 & 53.33 & 34.8 & 57.61 & 24.1 & 89.62 & 33.1 \\ \hline 30 & 61.77 & 39.5 & 31.54 & 426 & 12.31 & 221 & 17.00 & 25 \\ \hline 31 & 4690 & 22.7 & 3083 & 413 & 62.43 & 298 & 21.04 & 23.6 \\ \hline \end{tabular}