# data[].attributes.body
replication  of my destroyed 1st boat
Boat 2g
168 cubic cm
density 0.679 g/cm3
cargo 142g
prediction 138g

# data[].attributes.body
Prediction of cargo/true data (difference between Up Force and Down Force):  80 g

Observed results/experimental data mass of cargo: 79 g

Percent Error: 1.26%

# data[].attributes.body
Percent error = 2.5
Mass of boat with cargo = 59.5
Mass of cargo 3 g
Density = 0.583
Volume = 24.7

# data[].attributes.body
Percent error= 2%
Mass of the boat with cargo=43 grams
Mass of the cargo= 37g

# data[].attributes.body
Prediction of cargo/true data (difference between Up Force and Down Force): 185 g

Observed results/experimental data mass of cargo: 188 g

Percent Error: 1.60%

# data[].attributes.body
percent error 11.27

mass: .864
volume: 1008
Density: .000864
mass of cargo: 532 grams

# data[].attributes.body
percent error: 5 percent
volume: 1182 liters
mass of boat: 1.02g
mass of cargo: 42g
total mass: 43.02
weight of boat: 10g
weight of cargo: 416g
total weight: 426g
cargo: rocks

# data[].attributes.body
Percent Error 100%
mass 2.17
volume 360
Density 0.005
prediction 50 g
mass of cargo 25 g

# data[].attributes.body
Percent error = 24.31
Mass = 0.005
Volume = 285.75
Density = 0.004
Mass of cargo = 377.5
Prediction of cargo/true data  = 285.7

# data[].attributes.body
Prediction of cargo/true data (difference between Up Force and Down Force): 125 g

Observed results/experimental data mass of cargo: 155 g

Percent Error: 19.35%

# data[].attributes.body
Prediction of cargo/true data (difference between Up Force and Down Force): 359 g

Observed results/experimental data mass of cargo:  349 g

Percent Error: 2.8 %

# data[].attributes.body
Boat:
1.8 g
212.625 cm3
Density: 0.009 g/cm cubed

Cargo:
Prediction: 90g
Reality test: 94.2 g

Percent Error: 4.46%

# data[].attributes.body
Volume: 1,296
Mass: 7.78
Density: 0.006
Prediction of cargo: 157
Mass of cargo 386.39
Percent error: 59%

# data[].attributes.body
Percent Error : 2.55
Mass of Cargo : 470 ish (I lost my number so this was about the amount of cargo)

# data[].attributes.body
Prediction= 200g (80 pennies)

Observed results= 205
Percent Error: 2.4

# data[].attributes.body
Prediction of cargo/true data (difference between Up Force and Down Force): 220 g

Observed results/experimental data mass of cargo: 378 g

Percent Error: 71.8 %

(I don't know how I got such a big percent error, I even did the calculations twice :/).

# data[].attributes.body
Mass: 1.8g
Volume: 225 cubic cm
Density: 0.006g per cubic cm
Down Force: 0.018 N
Up Force: 2.21 N
Weight In Water: 2.03N or 207.06g
Prediction: 83 Pennies
True Value: 70 Pennies
Percent Error: 18.5%
Before:

# data[].attributes.body
percent error, 98.984
mass, 1.092
volume, boat A 234.9, boat B 156.195, boat C 128.155.
boat A, mass of cargo= 222.5
boat B , mass of cargo=136
boat C, mass of cargo=119

# data[].attributes.body
Percent error: 1.0989011
Prediction 225g True 227.5

# data[].attributes.body
prediction:260 g
actual:199 g
percent error-31%

# data[].attributes.body
percent error 16.67

# data[].attributes.body
prediction: 155 g
observed results: 160 g
percent error: 2.4%

# data[].attributes.body
no cargo:6.87
density:5.37
persent error:53

# data[].attributes.body
after picture of boat by garrett
volume of boat:500cm3
density of boat;.012
prediction of cargo;494
real cargo; 369
measurement of amount of tin foil used 12x12inches

# data[].attributes.body
2.304 = mass
0.0226=weight
384=volume
3.76=Buoyant force
0.006=density
185=prediction
200=results
7.5=percent error

# data[].attributes.body
Prediction of cargo/true data (difference between Up Force and Down Force): 120g

Observed results/experimental data mass of cargo 123.2g

Percent Error: 3.2%