The model predicts when the car is driven at 50 MPH. It asks us what feel economy efficiency is. It states us, um, states, rather, when this model predicts a high fuel economy, what can we say about those predictions? So what we can say is that these predictions will remain accurate regardless of the speed, as this is going to be a linear, um, function here for part D. And therefore, it wouldn't make sense to attach any meeting to this y intercept for see here. Therefore, although the math would come out to 32 the car would be stationary in this case. Although in this particular case, the Y intercept is going to be 30 to hear if the car is not moving in the field, economy here is going to be irrelevant. It wants us to explain why it's silly to attach. So this indicates that as we increase the speed here, essentially, what we get is a decrease and feel economy. So the slow periods gonna be zero point negative 0.1. So for eight here, it wants us determine the slope.
From their data, they created a model which basically states that field efficiency is equal to 30 to minus 0.1 of times speed. So in this particular scenario, it asked us, How does the speed at which you drive affect your fuel economy? So in order to find out, researchers drove a compact car for 200 miles at speeds ranging from 35 to 75 MPH here. So the question here gives us a scenario about regression here.
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