OLTAGE CURRENT TRIAL 1 CURRENT TRIAL 2 CURRENT TRIAL 3 CURRENT TRIAL 4 CURRENT TRIAL 5 1 0.17 0.16 0.18 0.17 0.17 2 0.36 0.37 0.35 0.36 0.34 3 0.60 0.59 0.61 0.58 0.59 4 0.80 0.81 0.82 0.81 0.82 5 1.02 1.01 1.00 1.00 1.02 6 1.19 1.20 1.20 1.22 1.21 7 1.41 1.40 1.40 1.38 1.39 8 1.61 1.60 1.62 1.60 1.59 9 1.78 1.80 1.81 1.79 1.78 10 1.98 2.00 1.98 1.99 2.00 1. Graph the data for each trial in Table 6.1. Superimpose all five sets of data in one plot. 2. Write the equations of the lines that best fit each data set and the corresponding R2 value. 3. Obtain average measurements from all five trials and plot the values on the space provided. Write the equation of the line that best fits the data and the corresponding R2 value.
OLTAGE CURRENT TRIAL 1 CURRENT TRIAL 2 CURRENT TRIAL 3 CURRENT TRIAL 4 CURRENT TRIAL 5 1 0.17 0.16 0.18 0.17 0.17 2 0.36 0.37 0.35 0.36 0.34 3 0.60 0.59 0.61 0.58 0.59 4 0.80 0.81 0.82 0.81 0.82 5 1.02 1.01 1.00 1.00 1.02 6 1.19 1.20 1.20 1.22 1.21 7 1.41 1.40 1.40 1.38 1.39 8 1.61 1.60 1.62 1.60 1.59 9 1.78 1.80 1.81 1.79 1.78 10 1.98 2.00 1.98 1.99 2.00 1. Graph the data for each trial in Table 6.1. Superimpose all five sets of data in one plot. 2. Write the equations of the lines that best fit each data set and the corresponding R2 value. 3. Obtain average measurements from all five trials and plot the values on the space provided. Write the equation of the line that best fits the data and the corresponding R2 value.
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VOLTAGE |
CURRENT TRIAL 1 |
CURRENT TRIAL 2 |
CURRENT TRIAL 3 | CURRENT TRIAL 4 | CURRENT TRIAL 5 |
1 | 0.17 | 0.16 |
0.18 |
0.17 | 0.17 |
2 | 0.36 | 0.37 | 0.35 | 0.36 | 0.34 |
3 | 0.60 | 0.59 | 0.61 | 0.58 | 0.59 |
4 | 0.80 | 0.81 | 0.82 | 0.81 | 0.82 |
5 | 1.02 | 1.01 | 1.00 | 1.00 | 1.02 |
6 | 1.19 | 1.20 | 1.20 | 1.22 | 1.21 |
7 | 1.41 | 1.40 | 1.40 | 1.38 | 1.39 |
8 | 1.61 | 1.60 | 1.62 | 1.60 | 1.59 |
9 | 1.78 | 1.80 | 1.81 | 1.79 | 1.78 |
10 | 1.98 | 2.00 | 1.98 | 1.99 | 2.00 |
1. Graph the data for each trial in Table 6.1. Superimpose all five sets of data in one plot.
2. Write the equations of the lines that best fit each data set and the corresponding R2 value.
3. Obtain average measurements from all five trials and plot the values on the space
provided. Write the equation of the line that best fits the data and the corresponding R2
value.
4. Describe how the current flowing through the resistor varied as the voltage was increased?
5. What do the slopes of the best fit lines represent? Explain your answer
6. (ATTACHED PHOTO)
7. .Do you consider the resistor as ohmic? Why or why not

Transcribed Image Text:6. From the data, derive the experimental values for the resistance and compare them with
the known resistance of the resistor (5000 Ohms) by calculating the percent error.
Table 6.2
Experimental Value for
Resistance (in Ohms)
Data Set
Percent error
Trial 1
Trial 2
Trial 3
Trial 4
Trial 5
Average of five trials
BUTE
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