Sen's slope is a non-parametric method used to estimate the trend or slope of a time series data. It is expressed as the change in the response variable per unit change in time.
The unit of Sen's slope depends on the unit of the response variable and the time unit used. For example, if the response variable is maximum temperature and the time unit is day, then the unit of Sen's slope would be °C/day. Similarly, if the response variable is rainfall and the time unit is month, then the unit of Sen's slope would be mm/month.
The unit of Sen's slope is the same as the unit of the data being analyzed. Sen's slope is a non-parametric method used to estimate the magnitude and direction of trends in time series data. It is calculated as the median of all possible pairwise slopes between observations, and it represents the rate of change in the data over time.
For example, if the data being analyzed is temperature measurements in degrees Celsius, then the unit of Sen's slope would also be degrees Celsius per unit of time (e.g. degrees Celsius per year). Similarly, if the data being analyzed is rainfall measurements in millimeters, then the unit of Sen's slope would be millimeters per unit of time (e.g. millimeters per month).