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This guide provides a comprehensive overview of how to accurately fill out the Wear Models And Predictive Equations: Their Form And Content form online. By following these steps, users will be equipped to input necessary data clearly and efficiently, ensuring that their submissions are complete and precise.
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- Click the ‘Get Form’ button to acquire the form and open it in your preferred online editing tool.
- Begin with section one, which typically covers the title of your model or equation. Ensure that you accurately enter the name as it appears in relevant literature.
- Proceed to section two, where you will input specific variables related to wear. Make sure to reference the proper parameters from the equations discussed in the document.
- In section three, provide any necessary background information or context for your model. This might include references to previous research or methodologies employed.
- Complete section four by detailing your predictive equations, ensuring that all components are clear and comprehensible to readers with varying levels of expertise.
- Finally, review all entered information for accuracy. Save your changes, download the completed form in your desired format, and prepare for any further sharing or submission needed.
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Weight, height and gender were significantly correlated to BMR; however height was ex- cluded following stepwise regression analysis resulting in the following BMR prediction equation: BMR (kJ/d) = 52.6 x weight (kg) + 828 x gender + 1960 (women = 0, men = 1) + 468.36 (R 2 = 0.81, P < 0.001) (Table 1).
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