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URGENT ANSWER 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

URGENT ANSWER

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, estimate the error correction models (ECM) and interpret the results. Explain how X and Y are related in the short run and how they are reacting to the past equilibrium error. In estimating the ECM, you should explain how you have chosen the number of lags for each equation. [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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