Covid19 Time Series Analysis with 3 Regressor for Danone Project in 34 Provinces of Indonesia

PART 19: NORTH SULAWESI PROVINCE

The world is under pressure from the novel COVID-19 pandemic. Indonesia is the fourth most populous country in the world and predicted to be affected significantly over a longer time period. The analyses of the present rapid responses to COVID-19, between January and November 2020, in 34 Province of Indonesia. With 30 days prediction and 3 regressors.

The dataframe passed to ‘fit’ and ‘predict’ will have a column with the specified name to be used as a regressor. When standardize=‘auto’, the regressor will be standardized unless it is binary. The regression coefficient is given a prior with the specified scale parameter. Decreasing the prior scale will add additional regularization. If no prior scale is provided, holidays.prior.scale will be used. Mode can be specified as either ‘additive’ or ‘multiplicative’. If not specified, m$seasonality.mode will be used. ‘additive’ means the effect of the regressor will be added to the trend, ‘multiplicative’ means it will multiply the trend.

## 
## Call:
## lm(formula = pred ~ actual)
## 
## Residuals:
##     Min      1Q  Median      3Q     Max 
## -88.585  -8.926  -0.594   9.613 108.911 
## 
## Coefficients:
##              Estimate Std. Error  t value Pr(>|t|)    
## (Intercept) 0.6235951  2.2980808    0.271    0.786    
## actual      0.9996069  0.0009261 1079.323   <2e-16 ***
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Residual standard error: 31.16 on 309 degrees of freedom
## Multiple R-squared:  0.9997, Adjusted R-squared:  0.9997 
## F-statistic: 1.165e+06 on 1 and 309 DF,  p-value: < 2.2e-16

Covid19 Time Series Analysis with 3 Regressor for Danone Project in 34 Provinces of Indonesia

Platinumetrix Global Inovasi (PGI)

November 10, 2020

PART 19: NORTH SULAWESI PROVINCE