In a WORD doc develop the solution to the following problem:
Find the dataset in STATDISK that corresponds to Data Set 16 in Appendix B.
Use the weights of cars and the corresponding braking distances.
Find the regression equation, letting the first variable be the predictor (x) variable.
Find the best predicted braking distance for a car that weighs 4000 lbs. following the prediction procedure summarized in Figure 10-5


Statdsik, Data Set 16: Cars
Figure 10-5
Car Weight Length Braking Cylinders Disp City Hwy GHG
1 Acura RL 4035 194 131 6 3.5 18 26 8.7
2 Acura TSX 3315 183 136 4 2.4 22 31 7.2
3 Audi A6 4115 194 129 6 3.2 21 29 7.7
4 BMW 525i 3650 191 127 6 3.0 21 29 7.7
5 Buick LaCrosse 3565 198 146 4 3.8 20 30 7.9
6 Cadillac STS 4030 196 146 6 3.6 18 27 8.7
7 Chevrolet Impala 3710 200 155 6 3.9 19 27 8.2
8 Chevrolet Malibu 3135 188 139 4 2.2 24 32 6.8
9 Chrysler 300 4105 197 133 8 5.7 17 25 9.3
10 Dodge Charger 4170 200 131 8 5.7 17 25 9.3
11 Dodge Stratus 3190 191 131 4 2.4 22 30 7.4
12 Ford Crown Victoria 4180 212 140 8 4.6 17 25 9.3
13 Ford Focus 2760 168 137 4 2.0 26 32 6.5
14 Honda Accord 3195 190 144 4 2.4 24 34 6.6
15 Hyundai Elantra 2980 177 133 4 2.0 24 32 6.7
16 Infiniti M35 4095 193 122 6 3.5 18 25 9.0
17 Jaguar XJ8 3860 200 133 8 4.2 18 27 8.6
18 Kia Amanti 4020 196 143 6 3.5 17 25 9.3
19 Kia Spectra 2875 176 144 4 2.0 25 34 6.5
20 Lexus GS300 3915 190 133 6 3.0 22 30 7.4
21 Lexus LS 4205 197 134 8 4.3 18 25 8.7
22 Lincoln Town Car 4415 215 143 8 4.6 17 25 9.3
23 Mazda 3 3060 177 129 4 2.3 26 32 6.5
24 Mercedes-Benz E 3745 190 128 6 3.2 27 37 7.0
25 Mercury Grand Marquis 4180 212 140 8 4.6 17 25 9.3
26 Nissan Altima 3235 192 144 4 2.5 23 29 7.1
27 Pontiac G6 3475 189 146 6 3.5 22 32 7.2
28 Saturn Ion 2865 185 130 4 2.2 24 32 6.7
29 Toyota Avalon 3600 197 139 6 3.5 22 31 7.2
30 Toyota Corolla 2595 178 140 4 1.8 30 38 5.5
31 Volkswagon Passat 3465 188 135 4 2.0 22 31 7.3
32 Volvo S80 3630 190 136 6 2.9 20 27 8.2