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Mathematics 20 Online
OpenStudy (x3_drummerchick):

I give medals! Help!! I am given a set of points and have to find a polynomial model that best fits the data, then graph it: time (t) height (h) 0 4.2 .5 26.1 1 40.1 1.5 46.0 2 43.9 2.5 33.7 3.0 15.8

OpenStudy (anonymous):

Post the question

OpenStudy (x3_drummerchick):

this is the furthest i got, i dont know how to use my calculator to find the polynomial function that is best fit

OpenStudy (x3_drummerchick):

i thought it may have been linreg(ax+b) but then it gives me weird numbers that dont coincide with the graph?

OpenStudy (x3_drummerchick):

i posted the picture ^ i have to find the polynomial that best fits the data: time (t) height (h) 0 4.2 .5 26.1 1 40.1 1.5 46.0 2 43.9 2.5 33.7 3.0 15.8

OpenStudy (x3_drummerchick):

@Lurker

OpenStudy (lurker):

oh wow :) you are ahead for your age

OpenStudy (lurker):

Are you interested in math?

OpenStudy (x3_drummerchick):

im in a sped up algebra class. im not good with other stuff though lol

OpenStudy (x3_drummerchick):

do u know how to do the problem?

OpenStudy (lurker):

Well I sort of do, but I am worried I will lose you if i go into details

OpenStudy (x3_drummerchick):

sort of? i only get twinty minutes on the omputer

OpenStudy (x3_drummerchick):

to find the answer

OpenStudy (lurker):

Okay lets start with this, first of all looks like a quadratic fit is best for this case right

OpenStudy (lurker):

Quadratic fit means parabola basically

OpenStudy (x3_drummerchick):

as in x squared

OpenStudy (lurker):

that is correct

OpenStudy (x3_drummerchick):

yeah, it its gonna be a negitive coeffishent

OpenStudy (lurker):

good

OpenStudy (x3_drummerchick):

leading negitive

OpenStudy (x3_drummerchick):

yes

OpenStudy (lurker):

so for now, u know it has to be in the form? y=-ax^2+bx+c

OpenStudy (lurker):

Okay so, lets try to fin these coefficients!!

OpenStudy (x3_drummerchick):

yes because the line of best fit is a parabla

OpenStudy (lurker):

Okay first thing to know about line of best fits is, the point of fitting is to minimize the distances from the points to the points of your parabola

OpenStudy (lurker):

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