t	t*t	EOM	LINEST			Regression Fit
1	1	360.071
2	4	361.217
3	9	358.774	0.098857	-0.67414	361.0294
4	16	360.271	0.521929	-3.84953	366.5164	359.4691429
5	25	360.139	0.0455	0.5597	356.8228	360.7588	Note
6	36	362.164	-0.21929	3.229029	350.4293	361.9091714	1. Calculate LINEST for the top row
7	49	362.901	-0.55157	7.85	334.7809	362.7039429	and then copy into other rows.
8	64	361.878	-0.0455	0.3587	361.9678	361.9254	2. LINEST is an array function.
9	81	360.922	0.382357	-7.06173	393.6795	361.0948857
10	100	361.307	0.906714	-16.8967	439.2378	360.9423714
11	121	362.29	0.759786	-14.086	426.0786	363.0668286
12	144	367.382	0.142643	-0.06393	347.0901	366.8635143
13	169	371.031	-0.83371	24.54637	193.0423	371.2474286
14	196	373.734	-0.44014	14.1944	260.6523	373.1058857
15	225	373.463	-0.322	10.593	287.909	374.354
16	256	375.518	-0.06579	2.583843	350.2264	374.7267714
17	289	374.804	-0.20079	7.212614	310.7472	375.3345714
18	324	375.457	-0.09821	3.367014	346.525	375.3098286
19	361	375.423	-0.45943	16.85109	221.0745	375.3914571
20	400	374.365	0.141214	-6.29787	443.4541	373.9823714
21	441	372.314	0.26	-11.5094	500.246	373.2086
22	484	373.765	0.312714	-13.7594	524.1991	372.8453714
23	529	372.776	0.066929	-2.52861	396.1929	373.4399429
24	576	374.134	0.362571	-16.599	563.2684	373.7328571
25	625	374.88	-0.38536	19.94096	117.7682	375.4439143
26	676	376.735	-0.26279	13.95856	190.4886	375.7679714
27	729	374.841	-0.09693	5.239043	304.9084	375.7016571
28	784	375.622	0.522286	-28.9942	777.3916	375.0260286
29	841	375.461	0.405857	-22.2769	680.6403	375.9356857
30	900	377.694	0.346571	-18.9953	635.4879	377.5436571
31	961	380.119	-0.197	14.2352	128.1862	380.1604
32	1024	382.288	0.241357	-13.075	553.036	381.7870857
33	1089	383.27	0.822429	-50.9269	1168.857	383.8943429
34	1156	387.978	1.296786	-82.8773	1706.351	387.6064286
35	1225	394.041	0.893643	-55.1191	1228.957	394.5005143
36	1296	403.423	0.655429	-38.2345	930.0114	403.0063429
37	1369	412.727	-0.30829	31.99394	-348.405	413.3277714
38	1444	423.417	-0.5015	46.7157	-628.56	422.4702
39	1521	429.948	-0.87671	75.61931	-1184.79	430.8766286
40	1600	437.821	-0.5095	46.5847	-611.259	436.9294
41	1681	441.703	-0.86186	75.15969	-1190.22	442.5435143
42	1764	446.663	-0.65107	57.5755	-823.725	445.9559429
43	1849	447.964	-0.7025	62.1667	-925.904	448.3414
44	1936	449.118	0.444	-37.4452	1236.545	448.5402
45	2025	449.234	0.540286	-46.3757	1443.182	450.3534286
46	2116	454.162	1.015714	-89.5001	2420.587	452.8331714
47	2209	456.692	0.472929	-39.125	1252.352	458.1767429
48	2304	465.117	0.156429	-9.35794	552.8528	464.0829429
49	2401	470.408	-1.17393	119.9263	-2586.7	471.0826571
50	2500	475.6	-0.4795	51.5233	-903.008	474.4072
51	2601	475.857	0.007643	2.291129	340.3693	477.0959143
52	2704	480.259	0.604643	-59.5382	1940.557	479.5275143
53	2809	483.432	0.172786	-14.0226	741.7496	483.9076286
54	2916	488.536	-0.33457	39.90531	-690.677	488.5993429
55	3025	493.182	-1.09357	122.8739	-2957.25	492.7623429
56	3136	494.242	-0.12186	15.6082	1.854515	493.7697143
57	3249	493.484	0.506857	-56.0109	2040.661	494.8178857
58	3364	498.186	0.852286	-95.7187	3181.425	496.8274286
59	3481	500.064
60	3600	506.684