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The Toyota Camry is one of the best-selling cars in North America. The cost of a previously owned Camry depends upon many factors, including
The Toyota Camry is one of the best-selling cars in North America. The cost of a previously owned Camry depends upon many factors, including the model year, mileage, and condition. To investigate the relationship between the car's mileage and the sales price for a 2007 model year Camry, the following data show the mileage and sale price for 19 sales (PriceHub website). Click on the datafile logo to reference the data. DATA file Miles (1000s) Price ($1000s) 22 16.2 29 16.0 36 13.8 47 11.5 63 12.5 77 12.9 73 11.2 87 13.0 92 11.8 101 10.8 110 8.3 28 12.5 59 11.1 68 15.0 68 12.2 91 13.0 42 15.6 65 12.7 110 8.3 If your answer is zero, enter "0". a. Select a scatter diagram with the car mileage on the horizontal axis and the price on the vertical axis. 1. 18 16 14 12 10 Price ($1000s) 20 40 6,0 80 100 120 Miles(1000s) 2. Price ($1000s) 18 16 14 12 10 20 4,0 6,0 8,0 100 120 Miles(1000s) 3. 18 16 14 12 10 18 Price ($1000s) 20 4,0 60 8,0 100 120 Miles (1000s) - Select your answer - b. What does the scatter diagram developed in part (a) indicate about the relationship between the two variables? - Select your answer c. Develop the estimated regression equation that could be used to predict the price ($1000s) (to 4 decimals). = d. Test for a significant relationship at the 0.05 level of significance (to 3 decimals). p-value= -Select your answer - = 0.05. e. Did the estimated regression equation provide a good fit? - Select your answer- f. Provide an interpretation for the slope of the estimated regression equation (to 4 decimals but dollar value to the nearest cent). Enter negative values as negative numbers. The slope of the estimated regression is . Therefore, every additional 1,000 miles on the car's odometr will result in a $ Select your answer - in the predicted price. g. Suppose that you are considering purchasing a previously owned 2007 Camry that has been driven 60,000 miles. Using the estimated regression equation developed in part (c), predict the price for this car (round to nearest dollar). Is this the price you would offer the seller? Select your answer
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