Question
URGENT ANSWER PLEASE Data COVID-19 Cases Daily Nov 2020-Jan 2021 new_cases 957 834 1054 1032 1009 1755 1168 852 972 869 822 919 1304 1114
URGENT ANSWER PLEASE
Data COVID-19 Cases Daily Nov 2020-Jan 2021
new_cases |
957 |
834 |
1054 |
1032 |
1009 |
1755 |
1168 |
852 |
972 |
869 |
822 |
919 |
1304 |
1114 |
1208 |
1103 |
1210 |
660 |
1290 |
958 |
1041 |
1096 |
1884 |
2188 |
970 |
935 |
1109 |
1315 |
1309 |
1212 |
1472 |
851 |
1075 |
1141 |
1123 |
1335 |
1600 |
1012 |
959 |
2234 |
1810 |
1937 |
1229 |
1371 |
1772 |
1295 |
1220 |
1683 |
1153 |
1340 |
2018 |
2062 |
1348 |
1581 |
1247 |
2335 |
1196 |
1594 |
1925 |
1870 |
2525 |
2068 |
2295 |
1704 |
1741 |
2027 |
2593 |
3027 |
2643 |
2451 |
2433 |
2232 |
3309 |
2985 |
3337 |
3211 |
4029 |
3339 |
3306 |
3631 |
4008 |
3170 |
3631 |
4275 |
3346 |
3048 |
3585 |
3680 |
4094 |
5725 |
5728 |
5298 |
QUESTION 1 By using data above using R software, carry out Causality test for both time series data (long run and short run) and interpret the results. [10 marks]
Your answer should include and attach software output. Write clearly the null and alternative hypotheses, the critical value, the level of significance, the distribution that you use and your decision.
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