Welcome to the hotseat. We've prepared a guide if you'd like to read more about how it works.

Please explain what is meant by the "smoothness" to which we always refer to in CH12. Is it referring to adherence?

+1 vote
asked Apr 9 in BUS 3018F - Models by Faith (150 points)

Tutorial 4 question 1i.

I have answered all the other parts of this question, but am struggling to properly define the concept of smoothness. Please help :) 

1 Answer

+1 vote
answered Apr 10 by MarioGiuricich (740 points)

Recall from MAM1000W that you defined how smooth a curve is, that is, does it progress in a “nice” manner from age to age, without too many “bumps”. Think about an exponential function or a logarithmic function - there are smooth. A polynomial of a very high degree, however, will not be smooth (Google a picture of this one).

Now, smoothness refers to the opposite of adherence to data. Let’s say that we plot our crude rates (as shown on the slides), and fit a curve through them. Then, this fitted curve will be very rough and not smooth, but WILL adhere to the data very well (since it passes through every data point).  If the curve is less jagged and more smooth, chances are that it will not pass through each and every data point, meaning that we have less adherence to data.

And hopefully this little example illustrates why smoothness and adherence to data are conflicting objectives! 

commented Apr 10 by Faith (150 points)

Thank you Mario... I understand the conflict arising between the two concepts. I thought the question required a formal definition of smoothness. But it is clearer now