Question

Can anyone help me: I"ll medal

Answer 1

If the variation explained is like the correlation coefficient, I'm referring to the link in previous question, I thin that, we can write this:
\[\huge r = 0.9795 \Rightarrow \% = r \cdot 100 \cong 98\]

Answer 2

oops.. explained variation*

Answer 3

think*

Answer 4

so it would be around 98% you think

Answer 5

yes!
here is the link:
https://en.wikipedia.org/wiki/Explained_variation

Answer 6

ok, now all i need for the worded one is a simple but explanatory answer

Answer 7

from general theory, we can say that values of \(r\) close to \(1\) or to \(-1\) indicate a strong linear correlation, whereas values of \(r\) close to \(0\) indicate a weak correlation or no linear correlation

Answer 8

the only reason i being crazy about the second one i becasue i alway get points taken off for not being specific enough.... crazy right

Answer 9

I had the same problem, I failed my first physics exam only because I didn't give much explanation, even if my results and formulas were right!!!!!

Answer 10

so this is what im gonna put.... The values of r that are close to 1 or to -1 indicate a strong linear correlation, kind of like the, the values of r close to 0 indicate a weak correlation... or no linear correlation!

How this?

Answer 11

but yeah its wierd how you must be a good explanier

Answer 12

ok im gonna go with that :)

Answer 13

after that failed exam, I became a good explainer eh eh :)
here we have to analyze the formula which expresses the value of \(r\)
the mathematical reasoning is quite long
the better thing if you can, is to refer to a good textbook of statistics
\[\begin{gathered}
{\text{John}}\;{\text{R}}{\text{.}}\;{\text{Taylor}} \hfill \\
{\mathbf{An}}\;{\mathbf{Introduction}}\;{\mathbf{To}}\;{\mathbf{Error}}\;{\mathbf{Analysis}}{\mathbf{.}} \hfill \\
{\mathbf{The}}\;{\mathbf{Study}}\;{\mathbf{of}}\;{\mathbf{Uncertainties}}\;{\mathbf{in}}\;{\mathbf{Physical}}\;{\mathbf{Measurements}} \hfill \\
{\text{University}}\;{\text{Science}}\;{\text{Books}}\;\left( {{\text{1982}}} \right) \hfill \\
\end{gathered} \]

Answer 14

that above is my favorite textbook of statistics

Answer 15

hmm , I will check up on that

Answer 16

for example, in that textbook, is used the Scwarz inequality, furthermore, is used the hypothesis that errors propagate in accordance with the normal or gaussian distribution