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OpenStudy (anonymous):
A student is assessing the correlation between the average number of hours of internet browsing and average score on a math test for the students of a class. The table below shows the data:
Part A: Is there any correlation between the average number of hours of internet browsing and average score on the math test for the students of the class? Justify your answer.
Part B: Write a function which best fits the data.
Part C: What does the slope and y-intercept of the plot indicate?
OpenStudy (anonymous):
@jim_thompson5910
jimthompson5910 (jim_thompson5910):
what spreadsheet program do you have?
OpenStudy (anonymous):
Ok so I made my own graph for part A and I found that it has a negative correlation, right?
OpenStudy (anonymous):
I used geogebra for this graph i just attached
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jimthompson5910 (jim_thompson5910):
geogebra is a good choice
jimthompson5910 (jim_thompson5910):
you can also use geogebra for spreadsheet work
OpenStudy (anonymous):
Yea, so that would be negative correlation right?
jimthompson5910 (jim_thompson5910):
at the top go to
view --> spreadsheet
jimthompson5910 (jim_thompson5910):
we'll find out
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jimthompson5910 (jim_thompson5910):
oh wait, you already have the points plotted
OpenStudy (anonymous):
Ok i did that
OpenStudy (anonymous):
Now what?
jimthompson5910 (jim_thompson5910):
in the input bar below, type
CorrelationCoefficient[
then enter the list of points surrounded by curly braces
jimthompson5910 (jim_thompson5910):
So if you had points A through J, then you would have
CorrelationCoefficient[{A,B,C,D,E,F,G,H,I,J}]
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OpenStudy (anonymous):
OpenStudy (anonymous):
When I press enter it erases
jimthompson5910 (jim_thompson5910):
where is the algebra tab? can I see that?
OpenStudy (anonymous):
algebra tab?
jimthompson5910 (jim_thompson5910):
at the top go to
View ---> algebra
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jimthompson5910 (jim_thompson5910):
I'm curious to see what the point labels are
OpenStudy (anonymous):
jimthompson5910 (jim_thompson5910):
thx
jimthompson5910 (jim_thompson5910):
for some reason, you did (0.95) twice
jimthompson5910 (jim_thompson5910):
delete point A then do CorrelationCoefficient[{B,C,D,E,F,G,H,I,J,K}]
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jimthompson5910 (jim_thompson5910):
oh I see what happened
jimthompson5910 (jim_thompson5910):
do you see the lower case letters a though g? how they're all -1
those are the results of you typing in CorrelationCoefficient[{A,B,C,D,E,F,G,H,I,J}]
so the correlation coefficient is -1
jimthompson5910 (jim_thompson5910):
now that I think about it, it might be better to do this sort of command in the CAS
OpenStudy (anonymous):
oh ok so it is negative correlation
jimthompson5910 (jim_thompson5910):
r = -1 means we have perfect negative correlation
all of the points lie on the same line
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OpenStudy (anonymous):
but hmm not sure why i put 0.95 twice
jimthompson5910 (jim_thompson5910):
the line has some negative slope
OpenStudy (anonymous):
oh ok wait brb
OpenStudy (anonymous):
So part A is negative correlation
OpenStudy (anonymous):
Part B....
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jimthompson5910 (jim_thompson5910):
in the input bar, type
FitLine[{A,B,C,D,E,F,G,H,I,J}]
and an equation of the line will pop up in the algebra tab
jimthompson5910 (jim_thompson5910):
or you can pick any two points and find the slope, then use y = mx+b
OpenStudy (anonymous):
It never works when i go to the input bar
jimthompson5910 (jim_thompson5910):
ok go to the CAS then
view --> CAS
jimthompson5910 (jim_thompson5910):
type FitLine[{A,B,C,D,E,F,G,H,I,J}] into the CAS
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OpenStudy (anonymous):
jimthompson5910 (jim_thompson5910):
OpenStudy (anonymous):
Oh ok but your last three points are wrong
jimthompson5910 (jim_thompson5910):
right, they skipped 88 for some reason
OpenStudy (anonymous):
It should be (3.5,87) and (4,86) and (4.5,85)
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OpenStudy (anonymous):
yea
OpenStudy (anonymous):
so now what does the slope say once you fix that
jimthompson5910 (jim_thompson5910):
jimthompson5910 (jim_thompson5910):
the correlation coefficient r is no longer -1 exactly, but it's still pretty close
OpenStudy (anonymous):
I went to mathway and it said this,....
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jimthompson5910 (jim_thompson5910):
that only works if you consider those two points only
jimthompson5910 (jim_thompson5910):
but we have to consider all 10 points
jimthompson5910 (jim_thompson5910):
which is what the FitLine function does
OpenStudy (anonymous):
Oh ok
OpenStudy (anonymous):
And lastly, part C
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OpenStudy (anonymous):
Well the slope is -2.25 and the y intercept is 95.27... but what does it indicate?
jimthompson5910 (jim_thompson5910):
what do x and y represent?
OpenStudy (anonymous):
I dont know
OpenStudy (anonymous):
@jim_thompson5910
jimthompson5910 (jim_thompson5910):
look back at the table given in the problem
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OpenStudy (anonymous):
Do you want the coordinates?
jimthompson5910 (jim_thompson5910):
they define in words what x and y are
jimthompson5910 (jim_thompson5910):
x = number of hours browsing the internet
y = ???
OpenStudy (anonymous):
Oh y is the score of the math test
jimthompson5910 (jim_thompson5910):
yeah
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jimthompson5910 (jim_thompson5910):
what does the y intercept represent?
OpenStudy (anonymous):
I really dont know
jimthompson5910 (jim_thompson5910):
it's where the x coordinate is 0 right? basically where the graph crosses the y axis
jimthompson5910 (jim_thompson5910):
the y-intercept of the regression line is where the predicted score would be if you spend no time on the internet
ie, if you spend no time on the internet, then it is predicted you get a score of 95.27
jimthompson5910 (jim_thompson5910):
the slope tells us how the score changes as x changes
each time the number of hours browsing the internet goes up by 1, the predicted score goes down by about -2.25
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