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A federal government agency that is responsible for setting vehicle fuel economy standards for automobile manufacturers is conducting research in order to update its fuel

A federal government agency that is responsible for setting vehicle fuel economy standards for automobile manufacturers is conducting research in order to update its fuel economy standards for the year 2030. Automobilemanufacturers, andconsumers, are highly interested in what theagency's findings and determinations will be as this will affect every vehicle in the United States. The federal government agency is very interested in the relationship between the weight of a vehicle and thevehicle's fuel economy(average miles per gallon(MPG)). Specifically, the agency is concerned that if the current trend of automobile manufacturers producing heavier new vehicles continues that its fuel economy targets will not be met. Theagency's research department recently collected data for analysis in order to support theagency's upcoming discussion with industry regarding its proposed 2030 fuel economy standards. The average MPG from a random sample of 750 vehicles was recently calculated by the agency. The research division also collected the vehicle weight of these 750 randomly sampled vehicles. The VehicleNumber, Type, VehicleWeight, AverageMPG, Fuel Tank Size(Gallons), Engine Size(Liters), and Meet or Not Meet Current Standards data were collected for these 750 vehicles.

1.

Agency leadership wants to build a simple linear regression model to predict avehicle's average fuel economy based upon the weight of the vehicle.

Build a scatterplot using Vehicle Weight as the independent variable and Average MPG as the dependent variable. Perform a visual analysis of thedata: describe thetrend, strength and shape of the relationship between these two variables. Choose the correct answer below.

A.

The scatterplot indicates there is anegative, weak, linear relationship between Vehicle Weight and Average MPG.

B.

The scatterplot indicates there is apositive, weak, linear relationship between Vehicle Weight and Average

MPG.

C.

The scatterplot indicates there is anegative, strong, linear relationship between Vehicle Weight and Average

MPG.

D.

The scatterplot indicates there is apositive, strong, linear relationship between Vehicle Weight and Average

MPG.

E.

The scatterplot indicates there is no relationship between Vehicle Weight and Average

MPG.

Include the scatterplot image as part of your answer. Save the image as a .jpg or.png file, thenclick "ShowWork" and usethe "InsertImage" button to upload and save your scatterplot.

Based upon your visual analysis of thescatterplot, is simple linear regressionappropriate? Why or whynot?

2.

Agency leadership wants to build a simple linear regression model to predict avehicle's average fuel economy based upon the weight of the vehicle. Construct a simple linear regression model using vehicle weight to predict avehicle's average fuel economy.

What is the correlation coefficient between Vehicle Weight and AverageMPG?

enter your response here

(Round to two decimal places asneeded.)

Part 2

Interpret the correlation coefficient is this context.

3.

Agency leadership wants to build a simple linear regression model to predict avehicle's average fuel economy based upon the weight of the vehicle. Construct a simple linear regression model using vehicle weight to predict avehicle's average fuel economy.

Using your simple linear regressionmodel, what is the value for the slope for this regressionmodel?

enter your response here

(Round to three decimal places asneeded.)

Part 2

Interpret the slope is this context.

.

4.

Agency leadership wants to build a simple linear regression model to predict avehicle's average fuel economy based upon the weight of the vehicle. Construct a simple linear regression model using vehicle weight to predict avehicle's average fuel economy.

Using your simple linear regressionmodel, what is the value for they-intercept for this regressionmodel?

enter your response here

(Round to two decimal places asneeded.)

Part 2

Interpret they-intercept is this context.

5.

Agency leadership wants to build a simple linear regression model to predict avehicle's average fuel economy based upon the weight of the vehicle. Construct a simple linear regression model using vehicle weight to predict avehicle's average fuel economy.

Using your simple linear regressionmodel, for each one pound increase in vehicleweight, how much would one predict thevehicle's average fuel economy todecrease?

enter your response here

MPG

(Round to three decimal places asneeded.)

Part 2

Using your simple linear regressionmodel, what is the predicted Average MPG of a vehicle when the Vehicle Weight is

2700

pounds(round the slope to 3 decimal places andy-intercept to 2 decimalplaces)?

enter your response here

MPG

(Round to two decimal places asneeded.)

Part 3

Based upon your simple linearregression, should theagency's leadership be concerned that if new vehicles continue to be produced with heavier weights that its goal of better fuel economy will bejeopardized?

6.

Another facet of the weight of the car is the question of whether or not weight differs for car that meet standards and those who do not. build aside-by-side boxplot of the weight ofcars, distinguishing between cars that meet standards and those who do not.

Include theside-by-side boxplot image as part of your answer. Save the image as a .jpgor .pngfile, thenclick "ShowWork" anduse the"Insert Image" button to upload and save your boxplot.

Describe and interpret the shapes of the two boxplots.

7.

One typically expects that e.g. trucks have a different fuel efficiency than passenger cars. That could be tested by atwo-sample t-test, but we do not have two types ofcars, but more than two. Ourtwo-sample testwon't help comparing passengercars, SUVs and trucks. Assuch, conduct an ANOVAF-test to investigate if the average fuel efficiency of cars differs between the three types of cars.

Part 2

Now run the One Way ANOVA.

What is the value of the test statistic of this ANOVAtest?

Test

statistic=enter your response here

(Round to the nearest two decimal places asneeded.)

Part 3

What are the degrees of freedom of the test statistic of the ANOVAtest?

Degrees of Freedom

(Total)=enter your response here

(Type a wholenumber.)

Part 4

What is theP-value of the test statistic of the ANOVAtest?

P-value=enter your response here

(Round to the nearest three decimal places asneeded.)

Part 5

Describe in your own words what you conclude from the outcome of this ANOVA test. Is it in line with the expectations youhad?

8.

One typically expects that e.g. trucks have a different fuel efficiency than passenger cars. That could be tested by atwo-sample t-test, but we do not have two types ofcars, but more than two. Ourtwo-sample testwon't help comparing passengercars, SUVs and trucks.

If we wish to investigate if the average fuel efficiency of cars differs between the three types ofcars, what type of analysis do weneed?

A.

2

test for homogeneity

B.

2

test for independence

C.

Two-sample t-test

D.

ANOVAF-test

What is the null hypothesis of the test that there is no difference in fuel efficiency between the types ofcars?

A.

All means of fuel efficiency are equal for the three types of cars

B.

All medians of fuel efficiency are equal for the three types of cars

C.

All three means of fuel efficiency are different for the three types of cars

D.

At least one mean of fuel efficiency differs from the means of the other two types of cars

What is the alternative hypothesis of the test that there is no difference in fuel efficiency between the types ofcars?

A.

All medians of fuel efficiency are equal for the three types of cars

B.

All three means of fuel efficiency are different for the three types of cars

C.

All means of fuel efficiency are equal for the three types of cars

D.

At least one mean of fuel efficiency differs from the means of the other two types of cars

Createside-by-side boxplots in StatCrunch. What type of car has highest variability in fuel efficiency(judge by thegraph, do notcalculate)?

A.

Passenger cars

B.

SUVs

C.

Trucks

And again looking at theside-by-side boxplotonly, without yet doing anycalculations: do you expect to find significant differences in mean fuel efficiency between the types ofcars?

A.

No, because differences in medians are small.

B.

Yes, because differences in medians are small.

C.

Yes, because differences in medians are small relative to the amount of variation within each type.

D.

No, because differences in medians are small relative to the amount of variation within each type.

Vehicle Number Type Vehicle Weight Average MPG Fuel Tank Size (Gallons) Engine Size (L) Meet or Not Meet Current Standards
1 Truck 3470 17 26 3.35 n
2 SUV 3050 21 22.9 3.56 y
3 SUV 3050 23 22.9 4.63 y
4 Truck 3050 23 22.9 4.12 y
5 Passenger Car 2210 25 16.6 2.95 y
6 SUV 2420 27 18.2 3.12 y
7 Passenger Car 1790 30 13.4 2.41 y
8 Passenger Car 3470 18 26 3.49 n
9 SUV 2210 28 16.6 4.19 y
10 Truck 2420 26 18.2 3.62 y
11 SUV 3470 20 26 3.51 n
12 Passenger Car 2210 26 16.6 3.89 y
13 Truck 1580 31 11.9 3.1 y
14 Truck 1790 30 13.4 4.07 y
15 Passenger Car 3260 21 24.5 2.81 y
16 Passenger Car 3260 22 24.5 3.5 y
17 Truck 2420 26 18.2 3.47 y
18 SUV 2840 25 21.3 2.87 y
19 Passenger Car 3470 20 26 4.07 n
20 SUV 1790 31 13.4 3.58 y
21 Passenger Car 3260 21 24.5 3.21 y
22 Truck 2840 23 21.3 3.17 y
23 Truck 1790 31 13.4 3.99 y
24 Passenger Car 2420 27 18.2 4.09 y
25 Passenger Car 1580 31 11.9 3.93 y
26 Truck 1580 32 11.9 3.85 y
27 Passenger Car 2840 26 21.3 2.62 y
28 SUV 2000 30 15 2.95 y
29 SUV 3260 22 24.5 3.38 y
30 SUV 3260 20 24.5 3.98 n
31 Truck 2210 27 16.6 2.8 y
32 Passenger Car 2630 26 19.7 3.58 y
33 Passenger Car 2210 27 16.6 2.35 y
34 Passenger Car 1580 31 11.9 3.25 y
35 Truck 1790 32 13.4 2.99 y
36 Passenger Car 3260 21 24.5 3.88 y
37 Passenger Car 3470 20 26 3.73 n
38 SUV 2210 28 16.6 3.12 y
39 SUV 3260 23 24.5 3.58 y
40 Truck 1790 31 13.4 3.69 y
41 Truck 3470 22 26 3.99 y
42 Truck 3050 23 22.9 2.52 y
43 SUV 3470 20 26 3.13 n
44 Passenger Car 2840 24 21.3 3.73 y
45 Passenger Car 2840 25 21.3 2.63 y
46 Truck 2210 29 16.6 3.63 y
47 Truck 2210 28 16.6 3.76 y
48 Passenger Car 2630 26 19.7 3.66 y
49 SUV 1580 31 11.9 3.53 y
50 Passenger Car 3470 19 26 3.63 n
51 Passenger Car 2420 25 18.2 3.99 y
52 SUV 1790 30 13.4 3.46 y
53 Passenger Car 2630 26 19.7 2.81 y
54 Passenger Car 2840 26 21.3 3.37 y
55 Passenger Car 3050 21 22.9 3.11 y
56 Passenger Car 2210 28 16.6 3.05 y
57 Truck 2840 25 21.3 4.28 y
58 SUV 2210 25 16.6 3.86 y
59 Passenger Car 1580 31 11.9 4.2 y
60 Passenger Car 3470 21 26 3.24 y
61 Truck 3470 20 26 3.38 n
62 SUV 3050 23 22.9 3.35 y
63 SUV 2000 27 15 3.68 y
64 Passenger Car 3470 20 26 2.95 n
65 Passenger Car 1790 31 13.4 3.3 y
66 Truck 3470 21 26 3.51 y
67 Truck 3470 21 26 3.3 y
68 Truck 2000 30 15 3.79 y
69 Passenger Car 3050 21 22.9 3.93 y
70 Passenger Car 2210 27 16.6 3.5 y
71 Passenger Car 1790 30 13.4 3.39 y
72 Passenger Car 3050 22 22.9 3.27 y
73 Truck 3470 20 26 3.3 n
74 SUV 1580 32 11.9 2.9 y
75 SUV 1580 30 11.9 2.9 y
76 Passenger Car 1790 31 13.4 3.57 y
77 Passenger Car 2420 25 18.2 4.49 y
78 Truck 2000 27 15 4.41 y
79 Passenger Car 3050 22 22.9 3.35 y
80 SUV 3260 21 24.5 2.78 y
81 Passenger Car 2000 30 15 3.47 y
82 SUV 3050 21 22.9 4.42 y
83 Passenger Car 2000 26 15 3.85 y
84 Passenger Car 2000 29 15 3.77 y
85 Passenger Car 1790 29 13.4 3.35 y
86 SUV 2840 25 21.3 3.37 y
87 Passenger Car 2000 28 15 3.05 y
88 Truck 3470 20 26 3.82 n
89 Passenger Car 2210 28 16.6 3.4 y
90 Truck 3470 21 26 3.31 y
91 SUV 2840 23 21.3 3.4 y
92 Truck 2000 30 15 4.49 y
93 Truck 2420 25 18.2 3.69 y
94 Truck 2210 27 16.6 2.87 y
95 Truck 1580 32 11.9 3.44 y
96 Passenger Car 2210 28 16.6 3.53 y
97 Passenger Car 3470 20 26 2.8 n
98 SUV 2630 24 19.7 3.76 y
99 Passenger Car 3260 22 24.5 3.11 y
100 Truck 2210 27 16.6 3.4 y
101 SUV 3050 23 22.9 3.73 y
102 SUV 3470 21 26 4.03 y
103 SUV 3050 25 22.9 3.69 y
104 Passenger Car 2630 23 19.7 4.31 y
105 Passenger Car 1790 30 13.4 3.37 y
106 Passenger Car 3260 22 24.5 3.93 y
107 Passenger Car 1580 31 11.9 3.49 y
108 Passenger Car 2000 28 15 3.07 y
109 Passenger Car 3050 23 22.9 3.36 y
110 Passenger Car 2630 26 19.7 3.15 y
111 Passenger Car 2000 27 15 4.07 y
112 Passenger Car 3260 21 24.5 3.74 y
113 Passenger Car 2210 27 16.6 4.25 y
114 Passenger Car 2000 28 15 3.47 y
115 SUV 3260 20 24.5 4.1 n
116 Truck 2420 27 18.2 2.74 y
117 Passenger Car 2630 25 19.7 4.02 y
118 Passenger Car 2630 25 19.7 3.78 y
119 Passenger Car 2630 26 19.7 3.53 y
120 SUV 3260 21 24.5 3.78 y
121 Truck 2630 24 19.7 5.05 y
122 Passenger Car 2420 26 18.2 3.84 y
123 Passenger Car 2210 28 16.6 3.8 y
124 Truck 2840 24 21.3 3.25 y
125 SUV 1580 31 11.9 3.17 y
126 Passenger Car 1790 31 13.4 4.25 y
127 Truck 1790 29 13.4 3.14 y
128 Truck 3260 21 24.5 3.77 y
129 Passenger Car 3050 23 22.9 3.26 y
130 SUV 2210 26 16.6 4.03 y
131 Passenger Car 3470 19 26 4.31 n
132 SUV 1580 32 11.9 4.05 y
133 SUV 2420 26 18.2 3.33 y
134 Passenger Car 2630 26 19.7 3.23 y
135 Passenger Car 3260 21 24.5 3.64 y
136 Truck 3050 26 22.9 3.71 y
137 SUV 2420 27 18.2 3.53 y
138 SUV 2840 24 21.3 3.76 y
139 Truck 3470 21 26 3.6 y
140 SUV 2210 28 16.6 4.28 y
141 SUV 1790 31 13.4 4.28 y
142 SUV 3260 20 24.5 3.58 n
143 Passenger Car 1790 32 13.4 3.48 y
144 SUV 2210 28 16.6 4.31 y
145 Passenger Car 1790 31 13.4 3.82 y
146 SUV 3050 22 22.9 2.99 y
147 Passenger Car 3260 21 24.5 4.3 y
148 Passenger Car 2840 25 21.3 3.9 y
149 Passenger Car 2420 26 18.2 3.52 y
150 Passenger Car 2000 29 15 3.08 y
151 Passenger Car 2630 26 19.7 4.18 y
152 Passenger Car 2000 28 15 3.52 y
153 Passenger Car 3050 22 22.9 3.44 y
154 Passenger Car 3260 21 24.5 3.48 y
155 Truck 3050 22 22.9 3.77 y
156 Truck 2210 27 16.6 3.15 y
157 SUV 2840 24 21.3 3.44 y
158 Passenger Car 3050 23 22.9 4.06 y
159 SUV 2840 25 21.3 3.65 y
160 Passenger Car 1580 31 11.9 4.27 y
161 Passenger Car 3470 20 26 3.59 n
162 Passenger Car 3470 20 26 4.29 n
163 Passenger Car 3260 22 24.5 3.83 y
164 SUV 2210 28 16.6 2.9 y
165 Truck 1580 33 11.9 3.08 y
166 Passenger Car 1580 33 11.9 4.04 y
167 Passenger Car 1580 33 11.9 3.07 y
168 Truck 2210 28 16.6 3.82 y
169 SUV 2210 28 16.6 4.51 y
170 Passenger Car 2630 24 19.7 4.76 y
171 Passenger Car 3470 21 26 3.48 y
172 Passenger Car 2630 24 19.7 3.55 y
173 Passenger Car 2210 27 16.6 3.29 y
174 SUV 2630 26 19.7 3.8 y
175 SUV 2420 28 18.2 3.47 y
176 Truck 3050 21 22.9 3.14 y
177 Passenger Car 2210 26 16.6 3.59 y
178 Passenger Car 2420 25 18.2 3.19 y
179 Passenger Car 3050 23 22.9 2.76 y
180 Passenger Car 2630 25 19.7 3.19 y
181 Passenger Car 2420 25 18.2 3.93 y
182 SUV 2840 24 21.3 3.7 y
183 SUV 2000 29 15 4.27 y
184 Passenger Car 2000 30 15 3.66 y
185 SUV 2420 26 18.2 3.44 y
186 Passenger Car 2210 28 16.6 3.49 y
187 SUV 2840 24 21.3 3.99 y
188 SUV 1580 31 11.9 3.41 y
189 Passenger Car 3470 20 26 2.87 n
190 Passenger Car 1790 30 13.4 3.07 y
191 Truck 1580 32 11.9 4.51 y
192 Passenger Car 2000 28 15 3.78 y
193 Truck 1790 29 13.4 2.93 y
194 Passenger Car 2630 27 19.7 3 y
195 Passenger Car 2840 24 21.3 3.61 y
196 SUV 2420 28 18.2 3.82 y
197 SUV 1790 30 13.4 3.02 y
198 Passenger Car 3260 22 24.5 3.85 y
199 SUV 1580 32 11.9 3.17 y
200 Passenger Car 2000 28 15 3.57 y
201 Passenger Car 2210 27 16.6 4.13 y
202 SUV 2210 28 16.6 3.2 y
203 Passenger Car 3050 24 22.9 4.06 y
204 Passenger Car 3470 20 26 3.54 n
205 Passenger Car 3050 24 22.9 4.39 y
206 SUV 2840 25 21.3 3.3 y
207 Passenger Car 2840 24 21.3 3.61 y
208 Passenger Car 2420 27 18.2 3.93 y
209 Truck 1580 33 11.9 3.48 y
210 Truck 2420 25 18.2 3.64 y
211 Truck 1790 30 13.4 3.05 y
212 Passenger Car 1790 30 13.4 3.81 y
213 Truck 1580 31 11.9 3.66 y
214 SUV 2000 29 15 3.62 y
215 Truck 2000 28 15 2.39 y
216 Truck 2840 24 21.3 3.77 y
217 Passenger Car 2420 25 18.2 2.82 y
218 Passenger Car 3470 21 26 2.28 y
219 Truck 1580 31 11.9 4.01 y
220 Passenger Car 1790 30 13.4 4.18 y
221 SUV 1790 31 13.4 3.85 y
222 SUV 2840 23 21.3 3.75 y
223 Truck 1790 32 13.4 2.77 y
224 SUV 3260 21 24.5 3.79 y
225 Passenger Car 2210 29 16.6 4.03 y
226 Truck 1580 32 11.9 3.79 y
227 Truck 3470 21 26 3.79 y
228 SUV 1580 31 11.9 3.19 y
229 SUV 3260 21 24.5 3.64 y
230 SUV 1790 31 13.4 2.96 y
231 Truck 2000 28 15 3.51 y
232 Truck 2840 25 21.3 3.39 y
233 Truck 2420 28 18.2 3.73 y
234 Passenger Car 3470 19 26 3.85 n
235 Truck 2210 27 16.6 3.93 y
236 SUV 3470 19 26 3.06 n
237 Passenger Car 2000 28 15 3.86 y
238 Passenger Car 1790 30 13.4 4.21 y
239 Truck 2840 23 21.3 3.09 y
240 SUV 1790 30 13.4 3.15 y
241 Passenger Car 3260 22 24.5 3.99 y
242 Truck 2210 28 16.6 3.52 y
243 Truck 2210 28 16.6 3.78 y
244 Truck 1580 30 11.9 2.79 y
245 SUV 3470 21 26 2.82 y
246 Passenger Car 2420 27 18.2 3.45 y
247 Passenger Car 3260 22 24.5 4.02 y
248 Truck 2840 23 21.3 3.31 y
249 Truck 3050 22 22.9 4.09 y
250 Truck 3050 23 22.9 4.01 y
251 SUV 2210 28 16.6 2.7 y
252 SUV 1580 32 11.9 3.14 y
253 Passenger Car 2000 28 15 4.53 y
254 Passenger Car 2840 23 21.3 3.03 y
255 Truck 1790 30 13.4 4.38 y
256 Passenger Car 2630 24 19.7 3.67 y
257 Passenger Car 2630 25 19.7 3.3 y
258 Passenger Car 2000 30 15 3.29 y
259 Passenger Car 2000 29 15 3.66 y
260 Truck 2630 26 19.7 3.91 y
261 Passenger Car 2210 28 16.6 3.91 y
262 SUV 2840 24 21.3 4.19 y
263 SUV 1580 30 11.9 3.23 y
264 Passenger Car 3050 23 22.9 3.55 y
265 Passenger Car 2210 28 16.6 3.83 y
266 Passenger Car 2000 28 15 3.38 y
267 Passenger Car 3470 20 26 4.13 n
268 Truck 2210 28 16.6 3.43 y
269 SUV 2630 26 19.7 3.48 y
270 SUV 2840 24 21.3 3.41 y
271 Truck 1790 31 13.4 3.39 y
272 SUV 2630 27 19.7 3.15 y
273 Truck 2840 25 21.3 2.72 y
274 Passenger Car 2000 28 15 3.47 y
275 Truck 3470 19 26 3.78 n
276 Truck 3050 22 22.9 2.99 y
277 Passenger Car 3470 22 26 3.86 y
278 Truck 2000 28 15 3.86 y
279 Passenger Car 2000 28 15 3.24 y
280 Passenger Car 3470 19 26 3.82 n
281 Passenger Car 3050 24 22.9 4.35 y
282 Passenger Car 2840 24 21.3 4.4 y
283 Passenger Car 1580 31 11.9 3.74 y
284 SUV 2000 28 15 3.97 y
285 SUV 3470 19 26 3.03 n
286 Passenger Car 2210 27 16.6 3.53 y
287 SUV 3260 22 24.5 4.28 y
288 Passenger Car 3050 24 22.9 3.53 y
289 Truck 2420 25 18.2 4.1 y
290 Truck 2420 26 18.2 3.36 y
291 Passenger Car 3260 20 24.5 3.43 n
292 Passenger Car 2630 26 19.7 3.19 y
293 SUV 2840 25 21.3 3.8 y
294 Passenger Car 2840 24 21.3 3.79 y
295 Passenger Car 2420 27 18.2 3.99 y
296 SUV 3260 21 24.5 3.12 y
297 Truck 2210 28 16.6 3.8 y
298 Truck 2210 29 16.6 4.39 y
299 Truck 3470 20 38 3.3 n
300 Passenger Car 1790 30 13.4 4 y
301 Passenger Car 2630 26 19.7 3.81 y
302 Truck 3050 24 22.9 3.74 y
303 Passenger Car 2000 29 15 2.59 y
304 Truck 1580 31 11.9 3.93 y
305 SUV 2000 30 15 3.53 y
306 Truck 2210 26 16.6 4.5 y
307 Passenger Car 1790 32 13.4 4.7 y
308 Passenger Car 3260 23 24.5 3.62 y
309 Passenger Car 3050 23 22.9 3.39 y
310 Truck 3260 21 24.5 4.13 y
311 SUV 2420 26 18.2 2.92 y
312 Passenger Car 2210 27 16.6 3.06 y
313 Truck 1580 33 11.9 3.79 y
314 SUV 3050 21 22.9 3.29 y
315 Passenger Car 3260 21 24.5 3.98 y
316 SUV 2630 26 19.7 3.54 y
317 Passenger Car 2630 24 19.7 4.76 y
318 Truck 2840 22 21.3 4.18 y
319 Passenger Car 1580 33 11.9 3.57 y
320 Passenger Car 2000 29 15 4.18 y
321 Passenger Car 3050 23 22.9 3.93 y
322 Passenger Car 2000 29 15 3.71 y
323 SUV 3470 19 26 3.91 n
324 Passenger Car 2420 26 18.2 4.35 y
325 Truck 2420 28 18.2 3.09 y
326 Passenger Car 2840 23 21.3 3.58 y
327 SUV 1790 29 13.4 2.89 y
328 Truck 1790 30 13.4 3.68 y
329 Truck 2420 26 18.2 4.02 y
330 SUV 2840 23 21.3 3.75 y
331 Passenger Car 3050 22 22.9 2.6 y
332 SUV 2000 31 15 3.43 y
333 Passenger Car 2210 27 16.6 3.67 y
334 SUV 3050 23 22.9 3.49 y
335 Passenger Car 2840 24 21.3 4.63 y
336 SUV 1580 31 11.9 3.18 y
337 Truck 2630 26 19.7 5.17 y
338 Passenger Car 3470 21 26 3.62 y
339 Truck 2420 27 18.2 3.69 y
340 SUV 3470 19 26 3.63 n
341 Passenger Car 3050 23 22.9 2.93 y
342 Truck 3050 22 22.9 3.22 y
343 Passenger Car 2840 24 21.3 3.81 y
344 Passenger Car 3260 21 24.5 2.69 y
345 Passenger Car 1580 31 11.9 3.24 y
346 SUV 3470 20 26 4.1 n
347 Passenger Car 3050 23 22.9 3.94 y
348 Passenger Car 2000 29 15 3.97 y
349 SUV 2630 24 19.7 3.37 y
350 Truck 1790 32 13.4 3.41 y
351 Passenger Car 3260 21 24.5 3.79 y
352 SUV 3470 19 26 3.81 n
353 Passenger Car 2840 23 21.3 3.84 y
354 Truck 3050 21 22.9 3.99 y
355 Truck 3470 19 26 3.83 n
356 SUV 2210 27 16.6 3.6 y
357 Truck 2840 23 21.3 4.17 y
358 Passenger Car 2420 27 18.2 4.47 y
359 SUV 2840 25 21.3 3.88 y
360 Truck 2630 26 19.7 3.91 y
361 Truck 3260 22 24.5 2.99 y
362 Truck 2210 28 16.6 3.73 y
363 SUV 1580 33 11.9 3.38 y
364 SUV 1790 30 13.4 3.33 y
365 Passenger Car 2210 28 16.6 3.82 y
366 Passenger Car 3470 21 26 3.33 y
367 Truck 3470 21 26 4.48 y
368 Truck 2840 23 21.3 3.51 y
369 Passenger Car 3470 19 26 3.94 n
370 Truck 3260 21 24.5 3.83 y
371 Passenger Car 3470 20 26 3.33 n
372 SUV 1790 30 13.4 3.21 y
373 Passenger Car 2630 27 19.7 3.91 y
374 SUV 2630 25 19.7 3.91 y
375 Truck 2000 29 15 3.61 y
376 SUV 1580 32 11.9 3.14 y
377 Truck 3050 23 22.9 4.14 y
378 Truck 2630 26 19.7 3.27 y
379 Passenger Car 2000 28 15 3.61 y
380 SUV 2630 26 19.7 3.23 y
381 SUV 3470 19 26 4.47 n
382 SUV 1580 32 11.9 3.97 y
383 SUV 3050 22 22.9 3.06 y
384 Truck 3260 22 24.5 4.04 y
385 SUV 2420 26 18.2 3.13 y
386 SUV 2210 28 16.6 3.34 y
387 Truck 2420 26 18.2 2.5 y
388 Truck 3050 22 22.9 3.36 y
389 Passenger Car 3470 20 26 3.52 n
390 SUV 2210 28 16.6 4.05 y
391 Passenger Car 2000 30 15 2.95 y
392 SUV 2210 29 16.6 4.46 y
393 SUV 2840 25 21.3 3.92 y
394 SUV 3470 20 26 4 n
395 SUV 2630 26 19.7 3.9 y
396 Passenger Car 2840 23 21.3 3.62 y
397 Passenger Car 2630 26 19.7 3.96 y
398 Truck 3260 23 24.5 4.09 y
399 Passenger Car 3470 21 26 3.75 y
400 Passenger Car 1790 30 13.4 3.21 y
401 Passenger Car 2420 26 18.2 3.73 y
402 Passenger Car 3470 21 26 2.58 y
403 SUV 2630 25 19.7 3.39 y
404 Passenger Car 2630 26 19.7 2.91 y
405 Truck 2210 27 16.6 3.94 y
406 Passenger Car 2840 25 21.3 4.18 y
407 Passenger Car 2000 28 15 3.97 y
408 Passenger Car 1580 30 11.9 3.11 y
409 SUV 2000 27 15 3.86 y
410 SUV 3470 22 26 3.44 y
411 Passenger Car 2000 28 15 3.63 y
412 Truck 2840 23 21.3 3.69 y
413 Passenger Car 2630 24 19.7 3.47 y
414 Passenger Car 1790 30 13.4 4.32 y
415 Passenger Car 2840 25 21.3 3.92 y
416 Truck 3470 19 26 3.23 n
417 Passenger Car 1580 31 11.9 2.04 y
418 SUV 2000 29 15 3.8 y
419 Truck 2420 25 18.2 3.14 y
420 SUV 2420 28 18.2 4.23 y
421 Passenger Car 3260 22 24.5 3.55 y
422 SUV 3050 23 22.9 3.37 y
423 SUV 3470 19 26 2.71 n
424 Passenger Car 1580 30 11.9 4.2 y
425 Passenger Car 3260 22 24.5 3.37 y
426 Passenger Car 1790 31 13.4 3.7 y
427 SUV 2000 29 15 2.29 y
428 Passenger Car 3470 19 26 4.21 n
429 Truck 2630 26 19.7 3.18 y
430 Truck 1580 32 11.9 4.28 y
431 Passenger Car 3470 19 26 3.99 n
432 Passenger Car 1580 32 11.9 3.39 y
433 Passenger Car 3050 23 22.9 3.97 y
434 SUV 2840 23 21.3 2.9 y
435 Truck 2840 25 21.3 2.63 y
436 Passenger Car 2420 28 18.2 3.1 y
437 Truck 3050 25 22.9 3.32 y
438 Passenger Car 3470 20 26 4.16 n
439 SUV 3260 22 24.5 4.23 y
440 Passenger Car 3260 20 24.5 3.41 n
441 Passenger Car 2000 30 15 3.79 y
442 Truck 2210 28 16.6 3.16 y
443 SUV 2840 23 21.3 3.47 y
444 SUV 2840 23 21.3 3.64 y
445 Passenger Car 1580 31 11.9 3.4 y
446 Truck 2630 26 19.7 2.3 y
447 Passenger Car 2420 26 18.2 3.22 y
448 Passenger Car 2630 24 19.7 3.94 y
449 Passenger Car 1790 30 13.4 4.54 y
450 Passenger Car 2840 23 21.3 4.35 y
451 Passenger Car 2000 30 15 4.22 y
452 Passenger Car 2840 23 21.3 3.73 y
453 Passenger Car 2630 25 19.7 3.35 y
454 Passenger Car 2420 27 18.2 3.7 y
455 Passenger Car 1790 30 13.4 3.14 y
456 SUV 1790 31 13.4 3.49 y
457 Passenger Car 3470 19 26 4 n
458 SUV 2630 24 19.7 2.97 y
459 Passenger Car 2210 26 16.6 3.58 y
460 SUV 2630 24 19.7 2.7 y
461 Passenger Car 2000 29 15 3.29 y
462 SUV 2630 25 19.7 3.2 y
463 Truck 2630 25 19.7 2.79 y
464 Passenger Car 2000 27 15 3.5 y
465 Passenger Car 2630 25 19.7 3.77 y
466 Passenger Car 3470 21 26 3.11 y
467 SUV 3050 24 22.9 4.16 y
468 Passenger Car 3050 22 22.9 3.64 y
469 SUV 3470 19 26 4.17 n
470 SUV 3050 22 22.9 3.69 y
471 Truck 3050 24 22.9 3.87 y
472 Truck 2210 29 16.6 4.42 y
473 Passenger Car 1790 30 13.4 4.17 y
474 Truck 1790 32 13.4 3.25 y
475 Passenger Car 2000 30 15 3.28 y
476 SUV 2420 27 18.2 4.64 y
477 Passenger Car 3470 19 26 3.74 n
478 Passenger Car 2210 29 16.6 4.18 y
479 Truck 2210 28 16.6 3.36 y
480 Passenger Car 2630 25 19.7 2.77 y
481 Passenger Car 2210 28 16.6 2.55 y
482 SUV 2000 29 15 4.29 y
483 Truck 2840 24 21.3 4.3 y
484 Truck 1790 32 13.4 3.67 y
485 Truck 1790 30 13.4 4.08 y
486 Passenger Car 2210 27 16.6 3.21 y
487 Passenger Car 2840 23 21.3 4.32 y
488 Passenger Car 2420 28 18.2 3.51 y
489 Passenger Car 2630 25 19.7 3.4 y
490 Truck 1790 29 13.4 3.89 y
491 SUV 2630 25 19.7 3.56 y
492 Passenger Car 2840 24 21.3 3.44 y
493 SUV 3260 20 24.5 3.13 n
494 Passenger Car 2420 26 18.2 3.06 y
495 Truck 1580 32 11.9 2.99 y
496 Truck 1580 33 11.9 3.52 y
497 Passenger Car 3260 22 24.5 3.24 y
498 Truck 3260 22 24.5 4.28 y
499 Truck 1580 31 11.9 2.93 y
500 Passenger Car 2630 25 19.7 3.23 y
501 SUV 1790 29 13.4 4.11 y
502 SUV 2420 26 18.2 3.82 y
503 Passenger Car 2840 23 21.3 3.72 y
504 SUV 3260 21 24.5 3.52 y
505 Passenger Car 3260 22 24.5 3.71 y
506 Passenger Car 3470 21 26 3.65 y
507 Passenger Car 2630 25 19.7 2.52 y
508 Passenger Car 2210 28 16.6 3.44 y
509 Passenger Car 3260 23 24.5 3.03 y
510 Passenger Car 2420 26 18.2 4.07 y
511 Passenger Car 2420 27 18.2 3.54 y
512 Truck 2630 25 19.7 3.16 y
513 Passenger Car 2630 27 19.7 4.1 y
514 Passenger Car 1580 32 11.9 4.08 y
515 Passenger Car 3050 24 22.9 3.01 y
516 Passenger Car 2210 27 16.6 3.73 y
517 SUV 1790 31 13.4 4.24 y
518 Truck 2420 25 18.2 3.62 y
519 SUV 2420 27 18.2 4.02 y
520 Passenger Car 2210 28 16.6 3.53 y
521 Truck 2840 23 21.3 3.01 y
522 SUV 3260 21 24.5 4.03 y
523 Truck 2630 25 19.7

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