Using the information below, how can I tell if my variables are related or not (correlation)?

SUMMARY OUTPUT
Regression Statistics
Multiple R	0.268609844
R Square	0.072151248
Adjusted R Square	0.041222956
Standard Error	5.465961014
Observations	32
ANOVA
	df	SS	MS	F	Significance F
Regression	1	69.69810566	69.69811	2.3328559	0.137145018
Residual	30	896.3018943	29.87673
Total	31	966
	Coefficients	Standard Error	t Stat	P-value	Lower 95%	Upper 95%	Lower 99.0%	Upper 99.0%
Intercept	76.42350177	9.755186509	7.834141	9.644E-09	56.50075306	96.34625049	49.59678127	103.2502223
X Variable 1	0.16694157	0.109300094	1.527369	0.137145	-0.056279002	0.390162143	-0.133633214	0.467516355
RESIDUAL OUTPUT
Observation	Predicted Y	Residuals
1	89.77882741	-10.77882741
2	92.61683411	-5.616834108
3	90.61353526	4.386464737
4	90.61353526	2.386464737
5	92.1160094	-6.116009397
6	92.1160094	3.883990603
7	92.1160094	2.883990603
8	89.11106113	8.888938871
9	86.60693757	-2.606937572
10	92.61683411	4.383165892
11	92.61683411	4.383165892
12	91.11435997	5.885640026
13	92.61683411	7.383165892
14	92.1160094	-3.116009397
15	91.11435997	2.885640026
16	92.61683411	5.383165892
17	92.1160094	5.883990603
18	88.61023642	5.389763583
19	92.1160094	-3.116009397
20	90.11271055	2.887289449
21	89.61188584	-6.61188584
22	92.61683411	-2.616834108
23	93.11765882	-5.117658819
24	91.61518469	-7.615184685
25	92.1160094	0.883990603
26	92.1160094	-6.116009397
27	91.11435997	-7.114359974
28	92.1160094	-4.116009397
29	92.1160094	-0.116009397
30	91.28130154	3.718698456
31	89.61188584	5.38811416
32	89.11106113	-6.111061129