Post on 05-Apr-2018
7/31/2019 Ohm's Law Lab part 2
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CAPTIONS ON THE BACK
y = 0.0007x + 8E-05
R = 0.9997
y = 0.0007x + 2E-05
R = 0.9997
y = 0.0009x - 0.0002
R = 0.9813
y = 0.0007x - 0.0025
R = 0.8674
0
0.001
0.002
0.003
0.004
0.005
0.006
0.007
0.008
0.009
0.01
0 2 4 6 8 10 12
Current
I (amps)
Voltage V (V)
Voltage vs. Current
Resistor Strength 30
Resistor Strength 6000
Resistor Strength 30000
Resistor Strength 120
Linear (Resistor Strength 30 )
Linear (Resistor Strength 6000 )
Linear (Resistor Strength 6000 )
Linear (Resistor Strength 120 )
7/31/2019 Ohm's Law Lab part 2
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We have 4 lines of best fit in our graph. All of the linear lines of best fit seem to appropriately describe the trend between voltage and current.
As you can see, the r squared values are all close to 1. The r squared value is an indicator of how well the data fits a line or curve. The closer the
r squared value is to 1 the better the data fits the curve. In other words, the closer the r squared value is to 1 the more likely the data points are
solutions to the equation that defines your curve. This shows that the linear trend line best fits the model and further strengthens the argument
that there is a strong linear relationship between voltage and current (amps). As voltage increases, the current increases as well.
According to our graph, the current and resistance are proportional to each other. As we increased the resistance from 30 to 6000 to 30000
, the current continued to increase and the lines of best fit would constantly get shifted up. The resistor strength of 120 which was one of
the lowest resistances had the lowest current. As resistance increased, the current tended to increase.