Could anyone draw a scatter plot of this table for me? I'll give a medal.
Table is in comments.
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OpenStudy (xximhisgirlxx):
|dw:1363573459332:dw|
OpenStudy (xximhisgirlxx):
@Mertsj
jimthompson5910 (jim_thompson5910):
Ok give me a few moments
OpenStudy (xximhisgirlxx):
Okay thank you so much..
jimthompson5910 (jim_thompson5910):
Normally I would use excel, but geogebra does a much better job at scatter plots
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OpenStudy (xximhisgirlxx):
Yeah lol
jimthompson5910 (jim_thompson5910):
have you heard of geogebra? or used it?
OpenStudy (xximhisgirlxx):
No I have not
jimthompson5910 (jim_thompson5910):
alright, nearly done
jimthompson5910 (jim_thompson5910):
I was just curious, you should check it out when you have time
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OpenStudy (xximhisgirlxx):
Again thank you!
jimthompson5910 (jim_thompson5910):
see attached pic
OpenStudy (xximhisgirlxx):
Could you help me with another problem?
OpenStudy (xximhisgirlxx):
One question is, "What are two equations that model this table"
OpenStudy (xximhisgirlxx):
@jim_thompson5910
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jimthompson5910 (jim_thompson5910):
so you want to find the linear regression equation?
OpenStudy (xximhisgirlxx):
It's just asking What are two equations for this table?
jimthompson5910 (jim_thompson5910):
hmm well off the top of my head, it looks like no simple equation goes through all of the points
jimthompson5910 (jim_thompson5910):
but you can use regression to get a line or curve that's close as possible to each point
jimthompson5910 (jim_thompson5910):
unfortunately regression is a very long and complicated process
but
luckily geogebra also has regression functions built in, so that saves us a ton of time
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jimthompson5910 (jim_thompson5910):
here is a picture of the linear regression line (in green) and the exponential regression curve (in blue)
jimthompson5910 (jim_thompson5910):
the equation of the green linear regression line is
y = 1.62121x - 4.73333
this is an approximation of course
jimthompson5910 (jim_thompson5910):
the equation of the blue exponential curve is
y = 2.11822e^(0.13693x)
OpenStudy (xximhisgirlxx):
Now it says what are the domain and range of the equations?
jimthompson5910 (jim_thompson5910):
well it looks like each point is in Q1, so that would give off the idea that the domain is the set of positive numbers
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jimthompson5910 (jim_thompson5910):
similarly, the range would also be the set of positive numbers (since each point is in Q1)
OpenStudy (xximhisgirlxx):
Could you help me out with two more? :)
OpenStudy (xximhisgirlxx):
@jim_thompson5910 ?
jimthompson5910 (jim_thompson5910):
ok
jimthompson5910 (jim_thompson5910):
go for it
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OpenStudy (xximhisgirlxx):
About how much money did Stacies store earn in the fifth month?
OpenStudy (xximhisgirlxx):
and explain
jimthompson5910 (jim_thompson5910):
this is based off the same scatter plot right?
OpenStudy (xximhisgirlxx):
yes lol
jimthompson5910 (jim_thompson5910):
ok one sec
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OpenStudy (xximhisgirlxx):
ok
jimthompson5910 (jim_thompson5910):
ok so there's no data point for the fifth month
otherwise, it would be as simple as looking at the table
jimthompson5910 (jim_thompson5910):
but we have data values for months 4 and 6
jimthompson5910 (jim_thompson5910):
month 4: 5
month 6: 4
this is what the table tells us
jimthompson5910 (jim_thompson5910):
average the two to get
(5+4)/2 = 9/2 = 4.5
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jimthompson5910 (jim_thompson5910):
so one possible value for month 5 is the number 4.5
OpenStudy (xximhisgirlxx):
Okay next question is : How much money do you expect the store to earn in the 24 month?
jimthompson5910 (jim_thompson5910):
so if y is in thousands of dollars, then she earns 4.5 thousand dollars
if y is in millions, then she earns 4.5 thousand dollars
jimthompson5910 (jim_thompson5910):
I meant if y is in millions, then she earns 4.5 million dollars
jimthompson5910 (jim_thompson5910):
plug in x = 24 into each equation I gave you and tell me what you get
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OpenStudy (xximhisgirlxx):
No solution ??
OpenStudy (xximhisgirlxx):
I don't know what to do lol, i'm confused ;/
OpenStudy (xximhisgirlxx):
next question is : How much money do you expect the store to earn in the 24 month?
jimthompson5910 (jim_thompson5910):
one sec
OpenStudy (xximhisgirlxx):
alright
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jimthompson5910 (jim_thompson5910):
using the linear regression line, we get
y = 1.62121x - 4.73333
y = 1.62121(24) - 4.73333
y = 34.17571
jimthompson5910 (jim_thompson5910):
use the exponential regression equation to get
y = 2.11822e^(0.13693x)
y = 2.11822e^(0.136939(24))
y = 56.662471504214
jimthompson5910 (jim_thompson5910):
so the projection is either 34.17571 or 56.662471504214 for 24 months (depending on which model you use)
OpenStudy (xximhisgirlxx):
I have to go but thank you so much! How do you give medals?