And coming to our left wing, we have the "Equation Equalizer," the one that wants to be as close the one as possible, .9999987689 on the calculator but #1 in our hearts, RRRRRRRR SQUARED!!!!!
Today, I asked a question in class. Here, I'll give you the floor, Narrator- or, as boxers refer to it as, the "canvas" of the ring-
Narrator: Well, the floor of our physics classroom is pretty dull- I've been meaning to ask Mr. Battaglia if we can spice it up a bit. But it really works well with spinny chairs and running around in fuzzy socks-
Not that floor, Narrator! Ugh, never mind. Just let me take over. I think we're losing the readers.
We were doing a lab, and a specific group had an r squared value of .997 (the closer r^2 is to 1, the more accurate it is). However, when they used the 5% rule, they got 4.08%- which still falls in the parameters, but is definitely on the higher end of the spectrum. I wondered, how is that possible? Aren't both the r^2 rule and 5% rule supposed to prove the accuracy? So, I asked. And here is the difference:
Both of them determine accuracy. BUT- for different things:
- The 5% rule proves how accurate your data is.
- The r^2 value proves how well your line fits your graph.
P.S.: Has anyone noticed I've used bullet points in every single one of my posts? What can I say? They're handy!
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