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Fuel Economy of Selected Vehicles (n = 73, k = 4) Obs Vehicle CityMPG Length Width Weight ManTran 1 Acura TL 20 109.3 74.0 3968

Fuel Economy of Selected Vehicles (n = 73, k = 4) Obs Vehicle CityMPG Length Width Weight ManTran 1 Acura TL 20 109.3 74.0 3968 0 2 Audi A5 22 108.3 73.0 3583 1 3 BMW 4 Series 428i 22 182.6 71.9 3470 0 4 BMW X1 sDrive28i 23 176.5 70.8 3527 0 5 Buice LaCrosse 18 196.9 73.1 3990 0 6 Buick Enclave 17 201.9 79.0 4724 0 7 Buick Regal 21 190.2 73.1 3692 0 8 Cadillac ATS 22 182.8 71.1 3315 0 9 Cadillac CTS 20 195.5 72.2 3616 0 10 Cadillac Escalade 14 202.5 79.0 5527 0 11 Chevrolet Camaro 1SS 16 190.6 75.5 3719 1 12 Chevrolet Cruze LS 26 181.0 70.7 3097 0 13 Chevrolet Impala LTZ 19 201.3 73.0 3800 0 14 Chevrolet Malibu 2LT 25 191.5 73.0 3532 0 15 Chevrolet Spark LS 31 144.7 61.0 2269 1 16 Chevrolet Suburban LTZ 15 224.0 80.5 5674 0 17 Chrysler 200 Touring LX 20 191.7 72.5 3402 0 18 Chrysler 300 S 19 198.6 75.0 4029 0 19 Dodge Charger SXT 19 199.9 75.0 3996 0 20 Dodge Dart Limited 23 183.9 72.0 3242 0 21 Fiat 500 Sport 31 139.6 64.1 2434 1 22 Ford Fiesta S 29 159.7 67.8 2575 0 23 Ford Focus SE 27 178.5 71.8 2960 1 24 Ford Mustang GT 15 188.5 73.9 3618 1 25 Ford Taurus 19 202.9 76.2 4054 0 26 Honda Accord LX 24 191.4 72.8 3192 1 27 Honda CRV LX 23 178.3 71.6 3305 0 28 Hyundai Azera Limited 19 193.3 73.2 3605 0 29 Hyundai Genesis 5.0 15 196.5 74.4 4240 0 30 Hyundai Santa Fe GLS 18 193.1 74.2 3933 0 31 Infiniti Q60 19 183.1 71.8 3633 0 32 Infiniti QX50 17 182.3 71.0 3790 0 33 Jaguar F-Type 20 176.0 75.7 3477 0 34 Jeep Compass Limited 21 175.1 71.4 3258 0 35 Jeep Grand Cherokee Limited 17 189.8 76.5 4685 0 36 Kia Forte LX 25 179.5 70.1 2776 0 37 Kia Soul 24 163.0 70.9 2615 1 38 Kia Sportage LX 21 174.8 73.0 3186 0 39 Land Rover Range Rover Sport 13 196.8 81.6 5137 0 40 Lexus IS 250 21 183.7 71.3 3461 0 41 Lexus LS 460 16 200.0 73.8 4233 0 42 Lexus RX 350 18 187.8 74.2 4178 0 43 Lincoln MKT 17 207.6 76.0 4702 0 44 Lincoln MKZ 22 194.1 73.4 3713 0 45 Lincoln Navigator 14 208.4 78.8 5794 0 46 Mazda 2 28 155.5 66.7 2306 1 47 Mazda CX-5 Sport 26 179.3 72.4 3194 0 48 Mercedes-Benz C-250 22 180.8 69.7 3428 0 49 Mercedes-Benz CL600 12 200.6 84.2 4894 0 50 Mercedes-Benz ML350 17 189.1 84.3 4751 0 51 Mini-Cooper 29 146.6 66.3 2605 1 52 Mitsubishi Outlander Sport SE 25 183.3 70.9 3296 0 53 Nissan Armada SV 13 207.7 79.3 5267 0 54 Nissan Cube S 25 156.7 66.7 2789 1 55 Nissan Maxima SV 19 190.6 73.2 3570 0 56 Nissan Murano SV 18 189.9 74.1 4011 0 57 Nissan Versa S 27 175.4 66.7 2363 1 58 Porsche Cayenne 15 190.8 76.3 4398 1 59 Scion FR-S 25 166.7 69.9 2806 0 60 Scion iQ 36 120.1 66.1 2127 0 61 Scion XD 27 154.7 67.9 2665 0 62 Suburu Forester 2.5i Limited 24 180.9 70.7 3419 0 63 Suburu Legacy 2.5i Limited 24 187.2 71.7 3427 0 64 Toyota Camry XLE 25 189.2 71.7 3280 0 65 Toyota Land Cruiser 13 194.9 77.6 5765 0 66 Toyota RAV4 XLE 24 179.9 72.6 3465 0 67 Toyota Yaris 30 153.5 66.7 2295 1 68 Volkswagen Beetle 2.5L 22 168.4 71.2 3038 0 69 Volkswagen Jetta SE 25 182.2 70.0 3070 0 70 Volkswagen Toureg V6 Sport 17 188.8 76.4 4711 0 71 Volkswagen Passat SE 24 191.6 72.2 3230 0 72 Volvo S60 T5 21 182.2 73.4 3528 0 73 Volvo XC90 16 189.3 76.2 4667 0

Use the standard error to construct a prediction interval for Y using an alpha of 5%. (Round your answer to 2 decimal places.) Prediction interval for Y: yiy^i Based on the width of this prediction interval, would you say the predictions are good enough to have practical value?

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