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Data Analysis

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Data Analysis. or why I like to draw straight lines. Engineers like Lines ... loge = ln. Nature likes to count in powers of e. And maybe ... log2. Computers like bits ... – PowerPoint PPT presentation

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Title: Data Analysis


1
Data Analysis
  • or why I like to draw straight lines

2
Engineers like Lines
  • What are the two parameters for a line
  • m slope of the line
  • b the y intercept

b 5 m (-5/2.5) -2 y -2x 5
3
How Do We Make Lines?
4
How do we make lines?
e6
e5
e4
e3
e2
e1
5
How do we evaluate lines?
One of these things is not like the other, one of
these things does not belong
6
Plot ei vs xi
e6
e5
e4
e3
e2
e1
Good lines have random, uncorrelated errors
7
Residual Plots
8
Why do we plot lines?
9
Why do we plot lines?
y mx b
10
Why do we plot lines?
y Aebx
11
Why do we plot lines?
y Ax2 Bx C
12
Why do we plot lines?
  • Lines are simple to comprehend and draw
  • We are familiar with slope and intercept as
    parameters
  • We can linearize many functions and plot them as
    lines

13
Linearizing equations
  • We have non linear function v f(u)
  • v u3
  • v 3log (u)2
  • v u/(u-4)
  • We want to transform equation into y mxb

14
Linearizing equations
y v x u3 m 1 b 1
v 2 u31
y mx b
15
Linearizing equations
y v x (u-0.5)2 m 3 b 2
v 3(u-0.5)2 2
y mx b
16
Linearizing equations
y ln(v/(5u)) x u m ln(2) b -.5 ln(2)
v 5u2u-0.511
y mx b
17
What are logarithms?
  • Logab x ?? b ax
  • Logarithms are the inverse properties of
    exponentials

18
Most important log bases
  • log10 log
  • We like to count in powers of 10
  • loge ln
  • Nature likes to count in powers of e
  • And maybe
  • log2
  • Computers like bits

19
What are the important properties of logs?
  • log(ab) log(a) log(b)
  • log(ab) blog(a)

20
Why do we care about logs?
  • Nature likes power law relationships
  • y kuavbwc
  • For some reason a,b,c are usually either
    integers, or nice fractions
  • log(y) log(k)alog(u)blog(v)clog(w)
  • Pretty close to linear - we can use linear
    regression

21
Buckling in the Materials Lab
  • From studying the problem we expect that buckling
    load (P) is a function of Youngs Modulus E,
    Radius R, and Length L

22
How would you design an experiment for the
pendulum?
L
M
g
Keep Mass constant vary L Keep Length constant
vary M Keep mass and length constant vary g
23
Where do log-log plots break down?
  • Two or more power laws
  • yk1uavb k2ucvd
  • Ergun Equation for flow through a packed bed
  • Flow of fluid through a pipe
  • For Re lt 2100 f16/Re
  • For Re gt 2100 f0.0701/Re1/4
  • Re(r v D) / m

24
Extra Stuff on Lines
25
Extra Stuff on Lines
26
More Extra Stuff on Lines
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