07-03-2013, 10:34 AM
(07-03-2013, 09:33 AM)chucketn Wrote: "k = mx + b
where m = -0.0124727272727273 and b = 0.980818181818182 for music and stainless steel wire
and m = -0.0109727272727273 and b = 0.984909090909091 for phosphor bronze wire.
and x is the Spring Index."
Arvidj, are thes values for m and b constants? Or are they just for the example in the article?
Chuck
They are constants derived from the graph, not from the example.
I looked at the graph on page 20 and entered the data points into Excel ...
Music or Stainless Steel Wire
Code:
5 0.922
6 0.907
7 0.893
8 0.880
9 0.867
10 0.854
11 0.842
12 0.829
13 0.818
14 0.807
15 0.798
Phosphor Bronze Wire
Code:
5 0.933
6 0.920
7 0.908
8 0.896
9 0.884
10 0.874
11 0.863
12 0.851
13 0.842
14 0.833
15 0.823
I then ran a linest function on the data to determine the "best fit" straight line that fit the data ... i.e. a line that is defined by y = mx + b. The results are:
Music or Stainless Steel Wire
Code:
-0.0124727273 0.9808181818
0.0002209421 0.0023172607
0.9971838746 0.0023172607
3186.8803611737 9.0000000000
0.0171125818 0.0000483273
Phosphor Bronze Wire
Code:
-0.0109727273 0.9849090909
0.0001841018 0.0019308762
0.9974728525 0.0019308762
3552.3275535085 9.0000000000
0.0132440818 0.0000335545
The first row, first column is m and first row, second column is b.
The third row, first column the coefficient of determination ... a value between 0 and 1 that indicates how accurately the mx + b formula predicts the given y values for the data that was provided. A value of 1 means 'perfect fit' and 0 means 'not even close'.
In this case the values are so close to 1 that we are safe in assuming that "for any value of x [the spring index], the value of y [the elusive k] is ((-0.0124727273 * [spring index]) + 0.9808181818) for music and stainless wire and ((-0.0109727273 * [spring index]) + 0.9849090909) for phosphor bronze wire.