The graph shows the relationship between the number of months different students practiced boxing and the number of matches they won: Part A: What is the approximate y-intercept of the line of best fit and what does it represent? (5 points)
Part B: Write the equation for the line of best fit in the slope-intercept form and use it to predict the number of matches that could be won after 13 months of practice. Show your work and include the points used to calculate the slope. (5 points)
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OpenStudy (hoothoot23):
OpenStudy (hoothoot23):
@jim_thompson5910
jimthompson5910 (jim_thompson5910):
Have you learned how to do linear regression?
OpenStudy (hoothoot23):
no
jimthompson5910 (jim_thompson5910):
hmm, then how do they want you do to this? Let me think
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jimthompson5910 (jim_thompson5910):
Does it give you the coordinates of the points?
OpenStudy (hoothoot23):
no you have them on the graph though
jimthompson5910 (jim_thompson5910):
yeah but it's hard to tell where exactly each point is located
OpenStudy (hoothoot23):
you can just do the whole numbers they dont have to be halves or decimals
jimthompson5910 (jim_thompson5910):
This is an unfair problem because not enough information is given. And they expect accurate answers I'm assuming
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OpenStudy (hoothoot23):
thats what i was thinking but can you try your best and explain it to me
jimthompson5910 (jim_thompson5910):
ok so I'm not 100% sure but let's say we focused on these two points
the red and blue points you see in the attached image
OpenStudy (hoothoot23):
okay
jimthompson5910 (jim_thompson5910):
Look at the coordinates that I list. Make sure you understand how I got those coordinates.
OpenStudy (hoothoot23):
how did you get these coordinates
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jimthompson5910 (jim_thompson5910):
here's how I got (9,18). The red point
jimthompson5910 (jim_thompson5910):
agreed? or no?
OpenStudy (hoothoot23):
oh why couldnt you use 3,9
jimthompson5910 (jim_thompson5910):
I'm focusing on points that lie on the line drawn
OpenStudy (hoothoot23):
oh okay
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OpenStudy (hoothoot23):
i understand
jimthompson5910 (jim_thompson5910):
do you see how I got (8,16.5) ?
OpenStudy (hoothoot23):
yes
jimthompson5910 (jim_thompson5910):
jimthompson5910 (jim_thompson5910):
if (8, 16.5) and (9,18) are on the line, then what is the slope of this line?
Use the slope formula
\[\Large m = \frac{y_2 - y_1}{x_2 - x_1}\]
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OpenStudy (hoothoot23):
umm
jimthompson5910 (jim_thompson5910):
subtract the y values
18 - 16.5 = ???
OpenStudy (hoothoot23):
1.5
jimthompson5910 (jim_thompson5910):
subtract the x values
9-8 = ???
OpenStudy (hoothoot23):
wherw did you get 18
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OpenStudy (hoothoot23):
where*
jimthompson5910 (jim_thompson5910):
from (9,18)
OpenStudy (hoothoot23):
ohh nevermind
OpenStudy (hoothoot23):
okay im catching on
jimthompson5910 (jim_thompson5910):
subtract the x values
9-8 = ???
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OpenStudy (hoothoot23):
the x would be 1
jimthompson5910 (jim_thompson5910):
subtract the y values
18 - 16.5 = 1.5
subtract the x values
9-8 = 1
Divide the y difference over the x difference
1.5/1 = 1.5
So the slope of this line is 1.5
jimthompson5910 (jim_thompson5910):
so m = 1.5
OpenStudy (hoothoot23):
so it would be y=1.5x+3
jimthompson5910 (jim_thompson5910):
now use y = mx+b
m = 1.5
x = 9
y = 18
and solve for b
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jimthompson5910 (jim_thompson5910):
`so it would be y=1.5x+3`
no
OpenStudy (hoothoot23):
y=1.5x+18
jimthompson5910 (jim_thompson5910):
y = mx+b
18 = 1.5*9 + b
solve for b
OpenStudy (hoothoot23):
we don't do it like that in my class
jimthompson5910 (jim_thompson5910):
you use point slope form?
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OpenStudy (hoothoot23):
we do Y=slope {m}+y intercept {b}
OpenStudy (hoothoot23):
and the x just stays x
jimthompson5910 (jim_thompson5910):
so basically what I wrote out but with words added in
OpenStudy (hoothoot23):
but you put the first y into 18
OpenStudy (hoothoot23):
when you should do the last y
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jimthompson5910 (jim_thompson5910):
(9,18) is on the graph
so x = 9 and y = 18
OpenStudy (hoothoot23):
i thought the y intercept would be 3
jimthompson5910 (jim_thompson5910):
y = mx+b
18 = m*9 + b ... replace x with 9 and replace y with 18
18 = 1.5*9 + b ... replace m with 1.5
jimthompson5910 (jim_thompson5910):
`i thought the y intercept would be 3`
it's slightly bigger
OpenStudy (hoothoot23):
so 3.5
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jimthompson5910 (jim_thompson5910):
solve for b to find out
jimthompson5910 (jim_thompson5910):
18 = 1.5*9 + b
18 = 13.5 + b
b = ???
OpenStudy (hoothoot23):
this is getting confusing
jimthompson5910 (jim_thompson5910):
13.5 plus _______ = 18
what must go in the blank?
OpenStudy (hoothoot23):
4.5
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jimthompson5910 (jim_thompson5910):
yep, that's the y intercept
jimthompson5910 (jim_thompson5910):
so the equation of the regression line is y = 1.5x + 4.5
OpenStudy (hoothoot23):
oh okay let me write that down hold on
jimthompson5910 (jim_thompson5910):
Keep in mind that we're basing all of this off the assumption this line goes through (8,16.5) and (9,18). Hopefully this assumption is true but it's impossible to say based on just the graph alone.
OpenStudy (hoothoot23):
thank you but what can we predict how many games there going to win after 13 months
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jimthompson5910 (jim_thompson5910):
x = number of months
plug in x = 13 to find the value of y
OpenStudy (hoothoot23):
oh so 18
OpenStudy (hoothoot23):
or 17.5
jimthompson5910 (jim_thompson5910):
no 18 is incorrect
OpenStudy (hoothoot23):
sorry i meant 17.5
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jimthompson5910 (jim_thompson5910):
y = 1.5*x + 4.5
y = 1.5*13 + 4.5 ... replace x with 13
y = 19.5 + 4.5
y = 24
OpenStudy (hoothoot23):
oh
jimthompson5910 (jim_thompson5910):
So if you practice for 13 months, then it's predicted you'll win about 24 matches
OpenStudy (hoothoot23):
okay im going to write this down and we have one more question im going to close this when im done writing it down and tag you