Shop	Location	Annual Return (Thousands of Dollars)	Number of Households (Thousands)
1	Mall	185.69	163
2	Suburban	203.00	215
3	Mall	245.81	232
4	Mall	137.07	108
5	Suburban	207.36	220
6	Suburban	146.12	150
7	Downtown	111.21	102
8	Suburban	188.19	198
9	Downtown	152.23	149
10	Suburban	182.23	192
11	Mall	198.88	179
12	Mall	139.65	111
13	Mall	156.22	130
14	Downtown	224.17	232
15	Downtown	195.62	199
16	Suburban	210.38	224
17	Downtown	209.16	215
18	Mall	260.82	250
19	Mall	200.16	180
20	Suburban	127.66	129
21	Downtown	170.59	170
22	Mall	219.93	203
23	Downtown	166.61	166
24	Downtown	225.71	234
25	Downtown	143.25	139
26	Downtown	239.55	250
27	Downtown	219.67	227
28	Suburban	224.84	241
29	Mall	232.32	217
30	Downtown	163.95	163

1. State the name of the dataset, identify the source of the data, and attach the dataset to your post.
2. Identify a quantitative variable in the dataset that can be used to create a frequency table.
   • State whether the variable is discrete or continuous.
   • Create a frequency distribution table with the following columns:
     • Class Limits
     • Frequency
     • Relative Frequency
     • Cumulative Relative Frequency
     • using the data above