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Use of Power in a multiple linear regression with force and velocity?

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  • Use of Power in a multiple linear regression with force and velocity?

    Hi all,

    Given that power is a product of force and velocity is it deemed acceptable to include it in a multiple linear regression with a force and velocity when predicting 60 m sprint performance?

    Help would be appreciated!

    Thank you in advance.

  • #2
    Re: Use of Power in a multiple linear regression with force and velocity?

    Maybe one can approach this via the research qn? Is it sensible to ask: is power, force, or velocity a better predictor of performance? It sounds sensible enough.

    Although you should check for multi collinearity, first.

    Bernard

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    • #3
      Re: Use of Power in a multiple linear regression with force and velocity?

      Thank you for your response Bernard. I imagine power will always come out on top given the nature of it, I will check the collinearity that is something I did not think of, would a stepwise be the best approach with force and velocity in the first step and power in the next?

      Thanks,

      Brett

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      • #4
        Re: Use of Power in a multiple linear regression with force and velocity?

        Hi Brett,

        it just occurred to me that

        sprint = constant + b1 (force) + b2 (velocity) + b3 (power), is equal to
        sprint = constant + b1 (force) + b2 (velocity) + b3 (force:velocity), where the last term is an interaction term.

        This is true unless you measured power, force, velocity independently which means there are errors associated with each measure. Even then, the above should be close. But if your power was defined by a direct FV product, it should be what it is above. That may answer some of the questions you posed too. Hope it helps.

        Bernard

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        • #5
          Re: Use of Power in a multiple linear regression with force and velocity?

          Hi Bernard,

          Thanks again for your response and time that's a great help!

          Brett

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