Question

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Answer 1

\[m=\frac{n\sum xy-\sum x\sum y} {n\sum x-\sum x\sum x}\]
\[b=-m\bar x+\bar y\]

Answer 2

forgot an x

n sum xx

Answer 3

And I know the slope is ,25x

Answer 4

I mean .25

Answer 5

the regression line without the data is rather hard to interpret since we dont know how well it fits

but as is, its assume that there is some positive direct correlation between the variables

Answer 6

y = the number of balls Mike fetches in one hour after taking each steroid dose.

x = number of hours

Answer 7

or something like that

Answer 8

the interpretation is just speculative ..

assuming the model predicts the outcomes

the y intercept is the base value, the standard with which to compare the results with when nothing has been altered.

Answer 9

14 doses, after each dose ... 1x is 1 dose, 2x is 2 doses etc... that makes more sense

Answer 10

yes

Answer 11

the number of balls increases by .25 per hour for a given number of x doeses

Answer 12

Ok, makes more sense thanks

Answer 13

good luck with it :)

Answer 14

by using the equation .... it predicts the number of balls

Answer 15

assuming 1gm is a dose ... let x = 110

in stats, r tends to be a correlation coefficient so id have to read up to recall how to use it in this case

Answer 16

Sorry If I'm giving you a hard time, I wish if this website allows one to give more than medal, you deserve it pal...

Answer 17

looking up if r is usable or not at the moment

Answer 18

ok

Answer 19

hmm, not sure yet, but r^2 seems to indicate the proportion of the predicted variable that can be explained

http://stattrek.com/regression/linear-regression.aspx

Answer 20

Ok thanks, I'll check the link :D

Answer 21

yep