Based on data in Figure 1, using Microsoft Excel, at 90% confidence level, can we conclude that on average, the no. of cases reported after 6/6/2021 is significantly lower than before 6/6/2021? Use the p-value approach to make your conclusion.R-naught is a measure used to describe the spreading rate of the COVID-19 disease. Based on the data in Figure 1, run a regression analysis with the aid Microsoft Excel and explain if no. of cases significantly influences the R-naught value. NEW COVID 19 CASESEDateNew Cases R-naught31/05/216,8241.0901/06/217,1051.0702/06/217,7031.0603/06/2104/06/2105/06/218,2091.067,7481.037,4521.0006/06/216,2410.9907/06/215,2310.9708/06/215,5660.9509/06/216,2390.9410/06/215,6710.9111/06/216,8490.9212/06/215,7930.9013/06/215,3040.91

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Description: Based on data in Figure 1, using Microsoft Excel, at 90% confidence level, can we conclude that on average, the no. of cases reported after 6/6/2021 is significantly lower than before 6/6/2021? Use the p-value approach to make your conclusion.R-naugh

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Based on data in Figure 1, using Microsoft Excel, at 90% confidence level, can we conclude that on average, the no. of cases reported after 6/6/2021 is significantly lower than before 6/6/2021? Use the p-value approach to make your conclusion.
R-naught is a measure used to describe the spreading rate of the COVID-19 disease. Based on the data in Figure 1, run a regression analysis with the aid Microsoft Excel and explain if no. of cases significantly influences the R-naught value.

NEW COVID 19 CASESE
Date
New Cases R-naught
31/05/21
6,824
1.09
01/06/21
7,105
1.07
02/06/21
7,703
1.06
03/06/21
04/06/21
05/06/21
8,209
1.06
7,748
1.03
7,452
1.00
06/06/21
6,241
0.99
07/06/21
5,231
0.97
08/06/21
5,566
0.95
09/06/21
6,239
0.94
10/06/21
5,671
0.91
11/06/21
6,849
0.92
12/06/21
5,793
0.90
13/06/21
5,304
0.91

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