@dan815
hm
do you know how to do it?
not really
try taking a loook at the line of best fit, see the differences from the expected to real
is it the difference between the values?
in any case if you don't know how to do this may I ask for another person's help? Im asking because I don't want to offend you by asking someone else since you have helped me
@dan815 ?
oh no ofcourse, go ahead
alright thank you @ParthKohli
@ganeshie8
@mathmate @mathmale
@Michele_Laino
I think that we have to compute the relative change going from one reading level to the subsequent reading level, and then we have to compute the average value from the values so obtained. For example, we have this first relative change: \[{r_1} = \frac{{5.5 - 4.8}}{{7.2 - 5.1}} \cdot 100 = 33.3\% \] so, please do the same for other reading levels
next, we have: \[{r_2} = \frac{{6.1 - 5.5}}{{6.3 - 7.2}} \cdot 100 = - 66.6\% \]
would it help if I gave you my options?
yes!
78.5% 88.7% 92.2% 81.5%
hey how can i help
@Michele_Laino is already helping but you can help me on my next question if you'd like :)
with my procedure, I got \(83\%\)
ok bye
alright thank you :) and the closest value is 85
please keep in mind that you have to compute an average value of the percentages obtained, namely an arithmetic average
how do I do that?
@Michele_Laino
it is simple. From my method above, I got the subsequent percentages: \[\begin{gathered} {r_1} = \frac{{5.5 - 4.8}}{{7.2 - 5.1}} \cdot 100 = 33.3\% ,\quad {r_2} = \frac{{6.1 - 5.5}}{{6.3 - 7.2}} \cdot 100 = - 66.6\% \hfill \\ \hfill \\ {r_3} = \frac{{7.9 - 6.1}}{{8.5 - 6.3}} \cdot 100 = 82\% ,\quad {r_4} = \frac{{6.2 - 7.9}}{{7.7 - 8.5}} \cdot 100 = 213\% \hfill \\ \hfill \\ {r_5} = \frac{{7.9 - 6.2}}{{9.3 - 7.7}} \cdot 100 = 106\% ,\quad {r_6} = \frac{{4.3 - 7.9}}{{5 - 9.3}} \cdot 100 = 84\% \hfill \\ \hfill \\ {r_7} = \frac{{6.1 - 4.3}}{{6.4 - 5.0}} \cdot 100 = 129\% \hfill \\ \end{gathered} \]
so I compute the average percentage, like below: \[\bar r = \frac{{33 - 66 + 82 + 213 + 106 + 84 + 129}}{7} = 83\% \]
that makes a lot of sense I will revise it in case there was some mistake in the calculation that is not allowing a result from the choices to appear
ok! :)
I got 83% as well
so I guess I will go with 85 since is more similar @Michele_Laino
among the options you provided, I don't see 88%
oops.. I meant I don't see 85%
78.5% 88.7% 92.2% 85.1% yeah lol my bad
ok! I think that, if my procedure is the right one, then we can choose 85.1%
alright thank you very much :)
:)
and you were correct thank you sooooo much :) are available to help me with more problems please?
@Michele_Laino
ok!
alright thank you :)
@Daniellelovee Have you done linear regression yet? It is the so called "best" line that passes through or near all the data points, using least squares. I have calculated the linear regression line which most people use to "predict" values, and the slope of the regression line is 77.9%. This might be useful if you have already done linear regression lines.
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