Question

1. For each variable (field) in the data set identify:
   1. Variable type (Quantitative or Qualitative and If quantitative, discrete or continuous). (Present in a table format.)
   2. Scale used to measure each variable (present it in a table format)

	Savings	Months Employed	Age	Housing	Credit Risk
1	$739	12	23	Own	Low
2	$1,230	0	32	Own	High
3	$389	119	38	Own	High
4	$347	14	36	Own	High
5	$4,754	45	31	Rent	Low
6	$0	13	25	Own	Low
7	$229	16	26	Own	Low
8	$533	2	27	Own	Low
9	$493	9	25	Own	High
10	$0	4	43	Own	High
11	$989	0	32	Rent	High
12	$3,305	15	34	Rent	Low
13	$578	14	26	Own	Low
14	$821	63	44	Own	High
15	$228	26	46	Own	Low
16	$129	8	39	Own	Low
17	$732	4	25	Own	High
18	$683	33	31	Own	Low
19	$0	116	47	Own	Low
20	$12,348	2	23	Rent	High

Answer 1

1.

Savings => Quantitative and continuous as it takes values within a certain interval with a wide range of variation.

Months Employed => Quantitative and discrete and it takes only some isolated values.

Age => Quantitative and discrete and it takes only some isolated values.

Housing => Qualitative as it describes the data into two categories which are not numerical.

Credit Risk => Qualitative as it describes the data into two categories which are not numerical.

2.

Savings => Ratio scale as it possesses absolute zero point.

Months Employed => Ratio scale as it possesses an absolute zero points.

Age => Ratio scale as it possesses absolute zero point.

Housing => Nominal scale as it measures non-numeric values with no order.

Credit Risk => Ordinal scale as it measures non-numeric values with certain order (High > Low).