What is the calculated value of R squared in your regression summary of worksheet: SI and regression? Round to 2 decimal places and use Excel.

Month	Demand	Yearly average	Seasonal Index	Average SI	Deseasonalized	Time period
1/1/2019	2324	2992.33	0.7767	0.8085	2874.42	1
2/1/2019	2789	2992.33	0.9320	0.9617	2900.13	2
3/1/2019	2442	2992.33	0.8161	0.9221	2648.20	3
4/1/2019	3020	2992.33	1.0092	1.0805	2794.90	4
5/1/2019	2379	2992.33	0.7950	1.0971	2168.37	5
6/1/2019	3482	2992.33	1.1636	1.2279	2835.70	6
7/1/2019	3362	2992.33	1.1235	1.2399	2711.41	7
8/1/2019	2635	2992.33	0.8806	1.0055	2620.70	8
9/1/2019	2274	2992.33	0.7599	1.0009	2271.98	9
10/1/2019	3271	2992.33	1.0931	1.2766	2562.28	10
11/1/2019	3575	2992.33	1.1947	1.4524	2461.48	11
12/1/2019	4355	2992.33	1.4554	1.6721	2604.59	12
1/1/2020	2243	3549.416667	0.7496	0.8085	2774.24	13
2/1/2020	2705	3549.416667	0.9040	0.9617	2812.79	14
3/1/2020	2966	3549.416667	0.9912	0.9221	3216.45	15
4/1/2020	3256	3549.416667	1.0881	1.0805	3013.31	16
5/1/2020	3684	3549.416667	1.2311	1.0971	3357.83	17
6/1/2020	3819	3549.416667	1.2763	1.2279	3110.15	18
7/1/2020	4604	3549.416667	1.5386	1.2399	3713.06	19
8/1/2020	3104	3549.416667	1.0373	1.0055	3087.15	20
9/1/2020	3133	3549.416667	1.0470	1.0009	3130.21	21
10/1/2020	3712	3549.416667	1.2405	1.2766	2907.73	22
11/1/2020	4215	3549.416667	1.4086	1.4524	2902.14	23
12/1/2020	5152	3549.416667	1.7217	1.6721	3081.25	24
1/1/2021	2691	3740.83	0.8993	0.8085	3328.34	25
2/1/2021	3139	3740.83	1.0490	0.9617	3264.08	26
3/1/2021	2870	3740.83	0.9591	0.9221	3112.34	27
4/1/2021	3424	3740.83	1.1443	1.0805	3168.79	28
5/1/2021	3786	3740.83	1.2652	1.0971	3450.80	29
6/1/2021	3722	3740.83	1.2438	1.2279	3031.15	30
7/1/2021	3165	3740.83	1.0577	1.2399	2552.53	31
8/1/2021	3287	3740.83	1.0985	1.0055	3269.16	32
9/1/2021	3578	3740.83	1.1957	1.0009	3574.81	33
10/1/2021	4477	3740.83	1.4962	1.2766	3506.98	34
11/1/2021	5248	3740.83	1.7538	1.4524	3613.38	35
12/1/2021	5503	3740.83	1.8390	1.6721	3291.17	36
1/1/2022	2419.333333					37
2/1/2022	2877.666667					38
3/1/2022	2759.333333					39
4/1/2022	3233.333333					40
5/1/2022	3283					41
6/1/2022	3674.333333					42
7/1/2022	3710.333333					43
8/1/2022	3008.666667					44
9/1/2022	2995					45
10/1/2022	3820					46
11/1/2022	4346					47
12/1/2022	5003.333333					48