i need interpertations of following graphs and tables these are the analysis for qatars stock market impact before and after Covid 19 please do it ASAP Indexes Country 2017 2018 2019 2020 2021 Banking sector Qatar 0 324158 0 226236 0 280708 0 400816 0 246058 Industrial sector Qatar 0 323393 0 156797 0 175799 0 19835 0 274715 Insurance sector Qatar 0 256298 0 230435 0 305753 0 34389 0 212805 Consumer goods and services sector Qatar 0 23908 0 172857 0 363169 0 2660402 0 2540307 Telecommunication sector Qatar 0 193484 0 180513 0 361839 0 412422 0 255083 descriptives Statistics Bankingsector Industrialsector Insurancesector telecom Consumergoods N Valid 6 6 6 6 6 Missing 2 2 2 2 2 Mean 239 61 226 03 204 54 53 84 567 61 Median 219 32 200 90 202 49 55 27 575 43 Mode 150 a 150 a 166 a 38 a 515 a Std Deviation 93 659 62 710 33 419 9 687 40 719 Skewness 375 514 157 670 315 Std Error of Skewness 845 845 845 845 845 Kurtosis 2 256 1 464 1 995 1 390 2 141 Std Error of Kurtosis 1 741 1 741 1 741 1 741 1 741 Maximum 365 306 248 67 613 a Multiple modes exist The smallest value is shown correlation Correlations Bankingsector Industrialsector Insurancesector telecom Consumergoods Bankingsector Pearson Correlation 1 373 905 203 945 Sig (2 tailed) 466 013 700 004 N 6 6 6 6 6 Industrialsector Pearson Correlation 373 1 680 783 191 Sig (2 tailed) 466 137 065 716 N 6 6 6 6 6 Insurancesector Pearson Correlation 905 680 1 204 773 Sig (2 tailed) 013 137 699 071 N 6 6 6 6 6 telecom Pearson Correlation 203 783 204 1 391 Sig (2 tailed) 700 065 699 444 N 6 6 6 6 6 Consumergoods Pearson Correlation 945 191 773 391 1 Sig (2 tailed) 004 716 071 444 N 6 6 6 6 6 Correlation is significant at the 0 05 level (2 tailed) Correlation is significant at the 0 01 level (2 tailed) fIndustrial sector 306 4461 299 4469 201 1449 200 66 198 55 149 9527 2017 2018 2019 2020 2021 2022Banking sector 365 0182 326 254 269 652 168 9912 158 12 149 6342 2017 2018 2019 2020 2021 2022Telecommunication sector 66 72209 55 72209 58 39136 54 821 49 6548 37 70042 2017 2018 2019 2020 2021 2022

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i need interpertations of following graphs and tables. these are the analysis for qatars stock market impact before and after Covid-19. please do it ASAP

i need interpertations of following graphs and tables. these are the analysis for qatars stock market impact before and after Covid-19.

please do it ASAP

Indexes	Country	2017	2018	2019	2020	2021
Banking sector	Qatar	0.324158	0.226236	0.280708	0.400816	0.246058
Industrial sector	Qatar	0.323393	0.156797	0.175799	0.19835	0.274715
Insurance sector	Qatar	0.256298	0.230435	0.305753	0.34389	0.212805
Consumer goods and services sector	Qatar	0.23908	0.172857	0.363169	0.2660402	0.2540307
Telecommunication sector	Qatar	0.193484	0.180513	0.361839	0.412422	0.255083

descriptives:

Statistics
	Bankingsector	Industrialsector	Insurancesector	telecom	Consumergoods
N	Valid	6	6	6	6	6
Missing	2	2	2	2	2
Mean	239.61	226.03	204.54	53.84	567.61
Median	219.32	200.90	202.49	55.27	575.43
Mode	150^a	150^a	166^a	38^a	515^a
Std. Deviation	93.659	62.710	33.419	9.687	40.719
Skewness	.375	.514	.157	-.670	-.315
Std. Error of Skewness	.845	.845	.845	.845	.845
Kurtosis	-2.256	-1.464	-1.995	1.390	-2.141
Std. Error of Kurtosis	1.741	1.741	1.741	1.741	1.741
Maximum	365	306	248	67	613
a. Multiple modes exist. The smallest value is shown

correlation:

Correlations
	Bankingsector	Industrialsector	Insurancesector	telecom	Consumergoods
Bankingsector	Pearson Correlation	1	.373	-.905^*	.203	.945^**
Sig. (2-tailed)		.466	.013	.700	.004
N	6	6	6	6	6
Industrialsector	Pearson Correlation	.373	1	.680	.783	.191
Sig. (2-tailed)	.466		.137	.065	.716
N	6	6	6	6	6
Insurancesector	Pearson Correlation	.905^*	.680	1	.204	.773
Sig. (2-tailed)	.013	.137		.699	.071
N	6	6	6	6	6
telecom	Pearson Correlation	.203	.783	.204	1	.391
Sig. (2-tailed)	.700	.065	.699		.444
N	6	6	6	6	6
Consumergoods	Pearson Correlation	.945^**	.191	.773	.391	1
Sig. (2-tailed)	.004	.716	.071	.444
N	6	6	6	6	6
*. Correlation is significant at the 0.05 level (2-tailed).
**. Correlation is significant at the 0.01 level (2-tailed).

\fIndustrial sector 306.4461 299.4469 201.1449 200.66 198.55 149.9527 2017 2018 2019 2020 2021 2022Banking sector 365.0182 326.254 269.652 168.9912 158.12 149.6342 2017 2018 2019 2020 2021 2022Telecommunication sector 66.72209 55.72209 58.39136 54.821 49.6548 37.70042 2017 2018 2019 2020 2021 2022