• 0 • Using the data set to answer the following questions... •OS . data set lllestaura answer the follow! un egg irIons. 1. Plot. relationship between m es a. welt time uslng a scatter p.t, 2. Plot the relationship .tween meal prices and wa, tlme us. a

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restaurant__1_.xlsx
Home>Business & Finance homework help>• 0 • Using the data set to answer the following questions... •OS . data set lllestaura answer the follow! un egg irIons. 1. Plot. relationship between m es a. welt time uslng a scatter p.t, 2. Plot the relationship .tween meal prices and wa, tlme us. a

Sheet1

Restaurant Quality Rating Meal Price ($) Wait Time (min)
1 Good 18 5
2 Very Good 22 6
3 Good 28 1
4 Excellent 38 74
5 Very Good 33 6
6 Good 28 5
7 Very Good 19 11
8 Very Good 11 9
9 Very Good 23 13
10 Good 13 1
11 Very Good 33 18
12 Very Good 44 7
13 Excellent 42 18
14 Excellent 34 46
15 Good 55 0
16 Good 22 3
17 Good 26 3
18 Excellent 17 36
19 Very Good 30 7
20 Good 19 3
21 Very Good 33 10
22 Very Good 22 14
23 Excellent 32 27
24 Excellent 33 80
25 Very Good 34 9
26 Very Good 38 13
27 Good 27 1
28 Good 27 3
29 Very Good 26 7
30 Very Good 34 9
31 Very Good 35 14
32 Good 25 2
33 Excellent 44 34
34 Good 26 1
35 Excellent 47 29
36 Good 10 1
37 Excellent 35 41
38 Good 12 4
39 Good 15 3
40 Excellent 27 21
41 Good 7 0
42 Excellent 45 24
43 Very Good 32 15
44 Very Good 14 11
45 Excellent 40 29
46 Excellent 31 39
47 Very Good 17 10
48 Very Good 20 16
49 Excellent 36 40
50 Excellent 24 20
51 Very Good 38 19
52 Good 10 3
53 Very Good 10 12
54 Excellent 21 28
55 Very Good 34 15
56 Very Good 31 14
57 Excellent 25 40
58 Good 22 2
59 Very Good 28 11
60 Good 10 4
61 Very Good 27 14
62 Excellent 41 30
63 Very Good 35 13
64 Good 11 0
65 Good 18 1
66 Excellent 40 36
67 Very Good 48 10
68 Excellent 26 33
69 Very Good 12 19
70 Good 20 4
71 Very Good 38 12
72 Very Good 36 13
73 Very Good 37 11
74 Very Good 24 15
75 Very Good 18 10
76 Very Good 34 13
77 Very Good 28 16
78 Very Good 25 16
79 Very Good 25 12
80 Very Good 30 6
81 Very Good 21 16
82 Excellent 28 30
83 Very Good 16 14
84 Good 23 2
85 Excellent 46 94
86 Very Good 14 10
87 Good 11 2
88 Very Good 20 14
89 Very Good 32 15
90 Excellent 20 21
91 Very Good 24 10
92 Very Good 14 15
93 Very Good 24 18
94 Excellent 33 22
95 Good 23 1
96 Very Good 28 10
97 Very Good 17 11
98 Excellent 28 42
99 Very Good 16 15
100 Excellent 31 13
101 Very Good 27 12
102 Excellent 30 14
103 Good 45 1
104 Excellent 32 42
105 Good 19 5
106 Very Good 25 17
107 Very Good 25 14
108 Good 20 0
109 Excellent 37 39
110 Very Good 27 6
111 Very Good 28 8
112 Good 20 4
113 Very Good 31 6
114 Very Good 26 12
115 Very Good 38 8
116 Good 15 1
117 Good 25 5
118 Very Good 40 13
119 Very Good 35 15
120 Good 20 1
121 Very Good 23 7
122 Very Good 13 12
123 Good 20 1
124 Good 20 5
125 Good 10 5
126 Very Good 17 11
127 Very Good 20 10
128 Very Good 21 11
129 Excellent 35 45
130 Excellent 41 37
131 Good 28 3
132 Excellent 30 14
133 Very Good 31 16
134 Excellent 33 34
135 Excellent 32 29
136 Good 18 2
137 Good 27 4
138 Excellent 38 44
139 Very Good 23 12
140 Very Good 32 15
141 Very Good 25 13
142 Very Good 28 10
143 Good 19 2
144 Very Good 14 18
145 Very Good 19 12
146 Very Good 18 7
147 Very Good 16 14
148 Very Good 42 8
149 Very Good 12 12
150 Good 14 0
151 Very Good 26 13
152 Good 15 5
153 Very Good 14 8
154 Good 20 5
155 Very Good 30 18
156 Good 16 0
157 Good 21 2
158 Excellent 35 35
159 Very Good 30 17
160 Very Good 31 16
161 Very Good 28 6
162 Very Good 19 9
163 Excellent 43 24
164 Good 17 0
165 Excellent 27 24
166 Excellent 32 40
167 Excellent 36 22
168 Very Good 21 12
169 Very Good 11 13
170 Excellent 48 19
171 Very Good 13 15
172 Good 19 0
173 Very Good 35 10
174 Very Good 28 15
175 Good 13 4
176 Very Good 32 15
177 Excellent 27 44
178 Very Good 33 10
179 Very Good 37 8
180 Very Good 28 9
181 Good 24 5
182 Good 10 3
183 Very Good 36 10
184 Very Good 37 9
185 Very Good 25 13
186 Very Good 11 12
187 Good 11 4
188 Very Good 11 18
189 Good 10 3
190 Good 29 2
191 Very Good 14 7
192 Very Good 21 18
193 Good 28 3
194 Very Good 42 15
195 Very Good 30 9
196 Excellent 41 45
197 Good 22 2
198 Good 23 2
199 Very Good 27 19
200 Very Good 13 19
201 Very Good 28 17
202 Good 12 5
203 Excellent 23 22
204 Very Good 30 12
205 Good 17 1
206 Good 20 0
207 Good 20 1
208 Good 26 3
209 Good 18 2
210 Very Good 13 18
211 Very Good 25 13
212 Very Good 22 15
213 Very Good 27 13
214 Very Good 21 18
215 Very Good 32 16
216 Very Good 16 12
217 Very Good 20 10
218 Good 27 1
219 Excellent 88 33
220 Very Good 35 11
221 Very Good 21 14
222 Very Good 30 17
223 Good 23 2
224 Good 19 5
225 Very Good 18 12
226 Excellent 36 31
227 Good 29 6
228 Very Good 20 8
229 Good 17 3
230 Very Good 45 7
231 Good 20 6
232 Excellent 41 46
233 Good 26 4
234 Good 16 2
235 Very Good 23 10
236 Excellent 31 18
237 Very Good 23 8
238 Very Good 20 17
239 Very Good 38 7
240 Good -5 1
241 Excellent 46 23
242 Very Good 26 13
243 Very Good 24 7
244 Very Good 21 10
245 Excellent 30 41
246 Excellent 13 15
247 Excellent 23 20
248 Very Good 25 8
249 Very Good 28 17
250 Very Good 13 13
251 Very Good 27 10
252 Very Good 15 15
253 Good 11 4
254 Excellent 40 23
255 Good 28 0
256 Excellent 46 42
257 Very Good 32 16
258 Good 12 2
259 Good 37 0
260 Excellent 22 29
261 Excellent 42 18
262 Very Good 21 18
263 Excellent 32 15
264 Excellent 34 30
265 Very Good 37 9
266 Excellent 20 33
267 Very Good 21 19
268 Very Good 16 16
269 Excellent 47 20
270 Very Good 33 15
271 Excellent 48 23
272 Very Good 33 6
273 Very Good 25 14
274 Very Good 34 6
275 Very Good 20 15
276 Excellent 36 21
277 Excellent 40 31
278 Good 13 4
279 Very Good 12 10
280 Very Good 27 14
281 Very Good 20 11
282 Excellent 30 21
283 Good 29 0
284 Very Good 22 10
285 Good 27 0
286 Very Good 20 18
287 Excellent 37 35
288 Very Good 27 9
289 Good 23 3
290 Good 16 4
291 Very Good 23 10
292 Very Good 24 13
293 Excellent 45 32
294 Good 14 3
295 Good 18 3
296 Good 17 5
297 Good 16 2
298 Good 15 1
299 Very Good 38 10
300 Very Good 31 15