This model plot presents the analyzed of sanitation situation in the Sub-Saharan Africa between the period of 2000 to 2022. The service level modelled encompassed year, service level and the coverage. It appears from the plot that improved latrine, septic tanks and sewer are increasing.

The output of the linear regression model suggests the following: The intercept of the model is estimated to be 2001.500, indicating the expected value of the "Year" variable when the "Service_Level" is "Improved latrine and other". The coefficient for the "Service_LevelSeptic tank" variable is estimated to be 1.000, suggesting that when the "Service_Level" is "Septic tank", the "Year" variable increases by 1.000. The coefficient for the "Service_LevelSewer" variable is estimated to be 2.000, indicating that when the "Service_Level" is "Sewer", the "Year" variable increases by 2.000. However, it's important to note that the p-values for both coefficients are not statistically significant, as they are both greater than 0.05. This suggests that there is not enough evidence to conclude that the "Service_Level" has a significant effect on the "Year" variable. The adjusted R-squared value is -0.2857, indicating that the model does not explain much of the variability in the "Year" variable.Overall, based on this analysis, it seems that the "Service_Level" variable does not have a significant impact on the "Year" variable.