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## Main Question or Discussion Point

Hi there,

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

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