I took your 29 days (oldest to newest) and found that there were 3 unusual days thus the following equation 
with Actual/Fit and Forecast here 
All models are wrong ... but some are useful .... . It is fundamentally an autoregressive process of order 1 after one has adjusted for the three "unusual data points " see 
for a clear support for the anomaly identification.
Plot of the residuals 
from the above model suggesting reduced variability is clearly obvious . It is reasonable to suggest that there has been a break-point in the model error variance suggesting GLS or a weighted model . This was not not investigated here due to sample size ! ).
Here is the plot of the original data 
