Question

The table shows exam scores of students who watched a certain number of hours of television per week:



Hours of TV
1 2 3 4 5 6 7 8 9 10

Exam Score
98 96 95 94 90 85 81 80 75 72

Calculate the correlation coefficient.
-0.99

-0.89

-0.79

-0.69

Answer 1

helppppppp

Answer 2

@TinkerbellGirl

Answer 3

I need help

Answer 4

Im sorry Im not quite sure how to do this. If i knew Id help you..

Answer 5

okay thanks

Answer 6

@undeadknight26

Answer 7

I think we should graph this first :D
The more the data sticks together and goes up the more it will be correlated!
The less the data sticks together the data will be decreasing and it will be less correlated!

Answer 8

okay buy im still kinda confused

Answer 9

Smarty pants lol @undeadknight26

Answer 10

Im only in 10th and vaguely remember this stuff XD

Answer 11

im in 10th

Answer 12

Lol im in 11th, i hardly remember this either

Answer 13

Thats understand able @TinkerbellGirl lol
I forgot how to spell when i went they put numbers in math XD

Answer 14

lol can yall help with the question

Answer 15

Sure ill be afk for a bit so @TinkerbellGirl will clutch this question XD

Answer 16

Haha ya Ill try XD

Answer 17

ok

Answer 18

@kcurri help please

Answer 19

@kirbykirby help please

Answer 20

Ok so tell me if this helps ok, just give me a sec :

Answer 21

okay

Answer 22

If you have access to software, this is very easy to do. Otherwise, the calculation is easy, but very tedious
\[ \dfrac{\sum_{i=1}^n(x_i-\bar{x})(y_i-\bar{y})}{\sqrt{\sum_{i=1}^n(x_i-\bar{x})^2}\sqrt{\sum_{i=1}^n(y_i-\bar{y})^2}}\]

Answer 23

Ok so...

add all x up and divide it
add all y up and divide it
divide them by the total number
did you get the mean of x and y

Think that should help you, Im not sure how else to explain it. Also this is all I remember...

Answer 24

\(\bar{x}\) is the mean of hours of TV, \(\bar{y}\) is the mean of exam scores

Answer 25

If that doesnt help you i think this will :)

http://easycalculation.com/statistics/correlation.php

Answer 26

all together they equal 922

Answer 27

Ok so all i really know is that in correlation the 2 sets have a measurable linear relationship known as the correlation coefficient. The correlation coefficient is between -1.0 and +1.0, and can indicate the correlation between the variables is positive or negative or no correlation.

Answer 28

okay but I just don't get how you would get the answer all the way

Answer 29

Are you supposed to do this by hand or by software @rachaelnicole

Answer 30

Do you know this dear @jose12345

Answer 31

idk it doesn't say

Answer 32

the answers a

Answer 33

Ok well I'm gonna assume software since this is too tedious by hand. WHat software/calculator do you use for that?

Answer 34

Did you use the link i suggested?

Answer 35

I did it with what tink told me I added them all up then divided

Answer 36

Ok good job :), and you got your answer?

Answer 37

yes I got it right can you help with this
Given the data set for the size of a student's house in square feet and the age of the student, hypothesize a relationship between the variables.

I would expect the data to be positively correlated.

I would expect the data to be negatively correlated.

I would expect no correlation.

There is not enough information to determine correlation.

Answer 38

Ok well do you think there is any relation between age of the student and size of the student's house ?

Answer 39

no

Answer 40

Ok so what do you think the answer is :)?

Answer 41

b

Answer 42

I would actually say C - no correlation

Answer 43

oh thanks sounds more like it

Answer 44

Because age doesn't affect size of the house ^_^

Answer 45

Medal?

Answer 46

*claps* Not bad XD

Answer 47

Haha *smiles* thank you ^_^