Time Series Analysis, Data Science, Python, Weather, Statistics.
us a p-value. If it’s lower than 0.05, we can reject our null-hypothesis. As you can see, all 4 variables are stationary according to the ADF test. Usually, to apply some time series forecasting models such as ARIMA and others, stationarity is a must-have, so we are lucky here. Generally,