SPMA 225 JUMP SQUAT ANALYSISQuinn Keeler, Morgan Kinahan, James Nyce

Hypothesis

DIRECT LINEAR RELATIONSHIP BETWEEN JUMP HEIGHT OVER TIME

OR THE NUMBER OF JUMPS PERFORMED

Support or Reject Hypothesis?

Our work supports our hypothesis

0 5 10 15 20 25 30 35 400.00

0.05

0.10

0.15

0.20

0.25

0.30

0.35

R² = 0.896467578016279

Jump Height

Jump HieghtLinear (Jump Hieght)

Jump Number

Jum

p He

ight

0 5 10 15 20 25 30 350.06

0.08

0.10

0.12

0.14

0.16

0.18

0.20

R² = 0.640706991738643

Jump Height

Jump Height

Linear (Jump Height)

Moving average (Jump Height)

Jump Number

Jum

p He

ight

Sources of Error

Technique

Time

Markers

Method of Analysis Kinovea

Errors within Microsoft Word/Excel iPhone 4s/5 iSight Camera

Real camera Vs. iPhone Clearer image Better format Easier transfer

Data Collection Excel

Min. Knee Angle Take off Time Landing Time Flight Time Jump Height Usable Jumps (=-9.81*flight time^2/8)

Kinovea Angle analysis Jump time Jump height

James Jumping

Morgan Jumping

Side by Side

Jump at 2.61

(angle 98)

Jump at 40.78Angle 112

James’ Stats

Morgan’s Stats

Graphs

0 5 10 15 20 25 30 35 400.00

0.05

0.10

0.15

0.20

0.25

0.30

0.35

R² = 0.896467578016279

Jump Height

Jump HieghtLinear (Jump Hieght)

Jump Number

Jum

p He

ight

0 5 10 15 20 25 30 350.06

0.08

0.10

0.12

0.14

0.16

0.18

0.20

R² = 0.640706991738643

Jump Height

Jump Height

Linear (Jump Height)

Moving average (Jump Height)

Jump Number

Jum

p He

ight

James Morgan

Summary & Conclusion