Interpretation of coefficient in a big model

This time we have thrown even more variables into our model, including the number of bids in each auction (nBids) and the number of wheels. Unfortunately this makes a full visualization of our model impossible, but we can still interpret the coefficients.

lm(formula = totalPr ~ duration + startPr + cond + wheels + nBids, 
    data = mario_kart)

(Intercept)     duration      startPr     condused       wheels  
    39.3741      -0.2752       0.1796      -4.7720       6.7216  

Choose the correct interpretation of the coefficient on the number of wheels:

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