- #1

- 122

- 0

Could anybody offer any advice on a linear regression sample size problem?

I am using regression to predict the energy consumption (watt/mile) of an electric car based on a number of parameters such as average velocity, max velocity, average acceleration, the number of stops per mile etc. In total there are 15 parameters.

I record the energy consumption of a car for a journey and compute these parameters.

So the equation would like:

Energy Consumption = .23Average_Velocity + .5 Average_acceleration + .... etc

My question is, how would I determine how many journeys I would need to get a sufficient sample size for the regression? Assuming the same city, same driver, same weather, same driving style etc

I'd appreciate any advice you could offer

Thank you

John