In the following data, examine whether age, gender and last year's cost predict next year's cost.If you are using R code make sure that you reformat currency into a number.

Case	Male	Over 65 Years	High Cost User	Cost
1	0	1	1	$15,908.23
2	0	1	1	$15,854.54
3	1	0	1	$13,835.52
4	1	1	1	$36,924.08
5	1	1	1	$36,375.16
6	1	0	1	$13,204.80
7	0	1	1	$15,979.89
8	0	0	1	$5,212.88
9	1	0	1	$13,440.35
10	0	0	1	$5,282.95
11	0	1	1	$15,039.82
12	0	0	1	$5,917.86
13	1	0	1	$13,189.88
14	1	0	1	$13,306.49
15	1	1	1	$36,664.41
16	0	1	1	$15,360.99
17	1	1	0	$11,736.55
18	1	0	0	$3,237.33
19	0	1	0	$4,945.47
20	1	0	0	$3,872.95
21	1	0	0	$3,502.09
22	0	1	0	$4,730.09
23	0	0	0	$1,078.25
24	1	1	0	$11,644.10
25	1	0	0	$3,212.69
26	1	0	0	$3,389.80
27	1	0	0	$3,710.19
28	1	0	0	$3,446.79
29	1	1	0	$11,638.81
30	0	1	0	$4,442.27
31	1	1	0	$11,958.27
32	0	0	0	$1,603.49
33	0	1	0	$4,568.77