Skydiving Analysis Homework: Position, Velocity & Acceleration Graphs

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Homework Help Overview

The discussion revolves around analyzing the motion of a skydiver using provided data on distance fallen over time in a free-fall stable spread position. Participants are tasked with creating graphs for position, velocity, and acceleration versus time, but express uncertainty about the appropriate methods and interpretations of the data.

Discussion Character

  • Exploratory, Conceptual clarification, Mathematical reasoning

Approaches and Questions Raised

  • Participants discuss the nature of the position vs. time graph and its potential representation as an exponential function versus a quadratic regression. Questions arise about how to derive velocity and acceleration from the position data, including the use of derivatives and numerical methods.

Discussion Status

Some participants are exploring different regression methods for fitting the data, while others are questioning the validity of these methods. There is an ongoing inquiry into how to calculate velocity and acceleration from the position data, with suggestions for both derivative calculations and simpler numerical approaches. No consensus has been reached on the best method to analyze the data.

Contextual Notes

Participants note that the acceleration is not constant, which complicates the calculations. There are also discussions about the appropriateness of using higher-degree polynomial regressions based on R squared values, indicating a potential lack of clarity on how to best represent the data.

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Homework Statement


Members of a sky diving club were given the following data to use in planning their jumps. In the table attached, d represents the distance fallen from the rest by a sky diver in a "free-fall stable spread position" verses the time of the fall.Analyze bot qualitatively and quantitatively the motion of a sky diver using the data provided. Draw graphs for position,velocity, and acceleration vs. time.

Homework Equations


None that i know to use.

The Attempt at a Solution


I am kind of a noob at physics so this may be wrong. Quantitatively, the data is increasing, but in different rates. The position vs. time graph would therefore look like an exponential function. Qualitatively, the equation for the data (through a QUAD regression on TI-83) gave me 2.36x2+108.44x-186.32. I do not know how to figure out the velocity or acceleration vs. time graph.

Honestly I have no idea if this is right. Please someone help! Thanks in advance!
 

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If you thought the position vs. time graph looked like an exponential function (which it is actually is), why did you do a quad regression?

As for v vs. t and a vs. t graphs, how do you calculate velocity from position? Do this to generate a list of velocities. How do you calculate acceleration from velocity? Do this to generate a list of accelerations.
 
I chose to do a quad regression because it fits the data better. I know this is weird but i don't know why that worked out. Anyways, how would i generate the velocity from position? I was thinking of finding the derivative at each point. I'm not sure if that's correct though.
 
rahul129 said:
I chose to do a quad regression because it fits the data better. I know this is weird but i don't know why that worked out. Anyways, how would i generate the velocity from position? I was thinking of finding the derivative at each point. I'm not sure if that's correct though.

Finding the derivative at each point is the most accurate way to do it, but it's going to be quite tedious. A simpler way is to calculate the velocity in between, say, 1 s and 2 s as (d2-d1)/(2s - 1 s) and assume that this is equal to the velocity at t=1.5 s. This is only strictly true if acceleration is constant, which it isn't in this case, but the result will be fairly accurate.
 
Thanks! I have a few more questions though. Can't I just take the derivative of the whole function and plug the values of t back in? How would I analyze this quatitatively and qualitatively? Also I was playing around with the graph in excel and putting the function in a cubic or 4th degree regression yielded a higher R squared value should I use these or the quadratic?
 

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