please I need help I have no idea how to do this and would appreciate an explanation not just the answer Archers need to use arrows that do not bend easily. Th e table shows how the weight of an arrow affects its spine, or the distance the center of the arrow bends when a certain constant weight is attached. Graph the data in the table to find a linear and a quadratic model for the data. Use the regression feature on your calculator to find each model. Which model is a better fit? Explain. weight (in grams)140,150,170,175,205 weight (in inches)1.4, 1.25, .93, .78, .43
do you have a calculator? ti83 or such?
yes I do
you are going to make 2 lists ... input the data given. does that make sense?
just on the main screen or in the y= section?
stat, edit ; should get you into the lists
ok got that
enter the data into the lists .. L1 L2 140 1.4 150 1.25 170 .93 etc ...
ok done
2nd mode ... to quit back to main screen then, stat, calc, pick a regression
after you pick a regression, you tell it how to view the lists: LinReg(ax+b) L1, L2 or L2, L1 if you want it oriented the other way
ok
it should give you values for a, b on the linear model; and a,b,c if you picked the quadreg
LinReg(ax+b) L1, L2 a = -.0152... b= 3.5125...
??? it shows "LinReg(ax+b) L1,L2
after you input the L1,L2 .. you hit enter
ERR: DATA TYPE
stat calc linreg(ax+b) 2nd, 1 2nd, 2 enter linreg(ax+b) y = ax+b a= .... b= ....
if you are just inputing alpha L ... i dont think it knows that you are looking for List1
2nd, 1 for L1
ohhhhhhhhh lol gotcha
quadreg a=5.6706282E-5 b=-.0347792869 c=5.171748727 so after I have that and the linrereg what do I do?
well, whose give you the coefficients for the quad or line equations id enter them to form the equations
assuming we want an x axis of L1, and a y axis of L2 of course
if we do an L2, L1 ordered pair ... a = 16.1966 b = -94.89 c = 242.12 to give us a quadratic as: ax^2 + bx + c
so I would put those values into the equation and solve for X?
no need to solve for x, x is the input in terms of L2 values for the one I ran it lets us approximate/predict what the value of an unknown L2 value should be
16.1966x^2+-94.89x+242.12?
the equation: y = ax^2 + bx + c ; for some x=L2 yes
determining which model is a best fit might depend on the original plotting of the points .... do you ahve excel?
excel?
ill assume you dont :)
ok so is that the original points you mentioned
thats the original points they gave us yes
im not too sure which one is a better fit tho ... might be something to do with a correlation coefficient that i just do not have that much experience with
do you mind helping me with something else ?
i spose that depends on what the something else is ....
An archer releases an arrow from a shoulder height of 1.39 m. When the arrow hits the target 18 m away, it hits point A. When the target is removed, the arrow lands 45 m away. Find the maximum height of the arrow along its parabolic path. the top of the target is 1.5 meters high. the target is 20 cm from center to top
you have 3 points ... wrap a quadratic to them ...
ive done this question on here a few times
if we do the calculator again: L1 L2 0 shoulder 18 target aim 45 0
this would help define the parabolic path, and from there we can determine its highest point
theres prolly a pic of a target with rings of 4,4,4,4,8
haha yes there is the picture
the solution results are ugly to say the least ... workable, but awful to look at
0, 1.39 18, 1.5-.24 45, 0
ok?
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