h_amtgamble	w_amtgamble
6000	100
5020	30
950	500
1091	100
1091	100
60	1000
60	1000
750	220
910	40
900	5
300	600
240	600
760	40
760	40
344	444
400	330
300	390
630	50
650	30
650	30
650	30
600	40
320	320
100	535
100	535
570	40
300	300
300	280
500	50
400	130
85	400
400	80
120	350
320	120
360	80
320	120
310	100
200	200
320	64
320	64
190	190
360	20
95	280
340	20
340	15
80	245
240	85
240	85
220	88
150	150
200	100
100	200
200	100
200	100
30	270
225	70
225	70
252	40
250	40
220	65
160	120
250	20
50	220
250	20
250	20
200	70
50	210
140	120
52	200
130	120
50	200
200	50
200	50
50	200
100	150
200	50
130	120
240	10
200	43
40	200
120	120
120	120
190	40
80	150
80	150
120	100
200	20
80	140
120	100
150	70
120	100
80	140
68	150
200	13
60	150
50	160
60	150
50	155
190	10
160	40
100	100
100	100
50	150
100	100
150	50
130	70
100	100
120	80
115	80
20	170
50	140
10	180
94	94
120	60
170	10
120	60
60	120
150	25
150	25
150	20
10	160
10	150
60	100
80	80
40	120
60	100
30	130
80	80
60	100
70	88
120	35
95	60
100	50
140	10
60	90
100	50
100	50
100	50
120	25
60	80
60	80
100	40
80	60
40	100
120	20
100	40
100	40
65	70
70	60
25	105
40	90
30	100
120	10
80	50
80	50
30	100
80	50
60	70
100	30
108	20
80	48
100	25
25	100
110	12
80	40
100	20
80	40
80	40
40	80
90	30
80	40
20	100
58	60
100	15
25	90
56	56
100	10
60	50
48	62
30	80
55	55
100	10
100	10
5	100
80	20
60	40
50	50
50	50
50	50
50	50
50	50
50	50
80	20
50	50
48	48
90	5
46	46
46	46
12	80
60	32
40	50
45	45
40	50
50	40
45	45
50	40
40	50
50	40
40	50
40	46
40	45
40	45
50	35
74	10
40	40
40	40
50	30
50	30
40	40
40	40
40	40
40	40
40	40
40	40
40	40
30	50
40	40
30	50
40	40
30	50
50	30
16	60
50	25
35	40
50	25
37	37
25	48
35	36
60	10
45	25
20	50
40	30
60	10
30	40
50	20
40	25
30	35
15	50
40	25
52	10
20	40
30	30
20	40
20	40
10	50
40	20
30	30
25	35
20	40
25	35
30	30
30	30
30	30
10	50
30	30
30	30
30	30
20	40
50	8
50	8
35	22
35	22
15	40
40	15
28	27
15	40
35	20
50	5
35	20
40	12
26	26
30	20
45	5
20	30
10	40
20	30
25	25
25	25
20	30
20	30
10	40
30	20
20	30
25	20
25	20
40	5
35	10
22	20
20	20
35	5
20	20
20	20
20	20
20	20
20	20
20	20
20	20
20	20
20	20
20	20
35	5
20	20
10	25
15	20
15	15
10	20
10	20
20	10
20	10
10	20
10	20
15	15
15	15
20	10
15	15
10	20
20	10
10	20
20	10
20	10
15	10
10	15
20	5
5	20
10	15
12	12
12	12
12	9
12	9
10	10
10	10
5	15
8	10
8	10
10	7
5	12
6	10
11	4
11	4
10	5
7	7
5	5
5	4

• Relationship of gambling spendings between the gambling spouses (the households where both spouses spent more than 0 on gambling): Create two new variables by taking ln (the natural log) of_e and_, respectively (for example, =(_)). Note that anyone whose spending is zero will get a missing value for the two new variables. Calculate the correlation coefficient of these two new variables (excluding anyone whose spending is 0), i.e., the logarithm of the spendings on gambling of the gambling couples. Draw a scatter plot of the two new variables.