Hello
The aim is to fit a model:
y = a * exp( - b * X) + c
to log-transformed data. X is the independent variable, not log-transformed.
Visually, the data obey a power-law with a negative exponential decrease.
How can I get the slope (m) and intercept (b) as I would in a normal regression model:
y = m*X + b
Any help is appreciated.
The aim is to fit a model:
y = a * exp( - b * X) + c
to log-transformed data. X is the independent variable, not log-transformed.
Visually, the data obey a power-law with a negative exponential decrease.
How can I get the slope (m) and intercept (b) as I would in a normal regression model:
y = m*X + b
Any help is appreciated.