To plot a graph of \( L \) against \( T^2 \) and determine the slope, follow these steps:
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Prepare the Data: You'll have two variables: \( L \) values and \( T^2 \) values.
- \( L: 100, 80, 60, 50, 40, 30 \)
- \( T^2: 4.24, 3.39, 2.72, 2.28, 1.88, 1.49 \)
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Set Up a Graph:
- Plot \( T^2 \) on the x-axis and \( L \) on the y-axis.
-
Plot the Points:
- (4.24, 100)
- (3.39, 80)
- (2.72, 60)
- (2.28, 50)
- (1.88, 40)
- (1.49, 30)
-
Line of Best Fit:
- To determine the slope, you will need to find the line of best fit (linear regression) through the points.
-
Calculate the Slope:
- The slope \( m \) of the line in a linear equation \( y = mx + c \) can be computed using the formula:
\[ m = \frac{N(\sum{xy}) - (\sum{x})(\sum{y})}{N(\sum{x^2}) - (\sum{x})^2} \]
Where:
- \( N \) = number of points
- \( x \) corresponds to \( T^2 \)
- \( y \) corresponds to \( L \)
Calculating the Slope
-
Sum Up the Values:
N = 6 Sum of T^2 (x): 4.24 + 3.39 + 2.72 + 2.28 + 1.88 + 1.49 = 16.00 Sum of L (y): 100 + 80 + 60 + 50 + 40 + 30 = 360 Sum of T^2 * L (xy): (4.24*100) + (3.39*80) + (2.72*60) + (2.28*50) + (1.88*40) + (1.49*30) = 424 + 271.2 + 163.2 + 114 + 75.2 + 44.7 = 1092.3 Sum of (T^2)^2 (x^2): (4.24^2) + (3.39^2) + (2.72^2) + (2.28^2) + (1.88^2) + (1.49^2) = 18.58 + 11.49 + 7.39 + 5.19 + 3.53 + 2.21 = 48.39
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Substituting into Slope Formula: \[ m = \frac{6(1092.3) - (16.00)(360)}{6(48.39) - (16.00)^2} \] \[ m = \frac{6553.8 - 5760}{290.34 - 256} = \frac{793.8}{34.34} \approx 23.1 \]
Final Result
The slope of the line when plotting \( L \) against \( T^2 \) is approximately 23.1.
If you want to visualize the graph, you can use graphing tools like Excel, Google Sheets, or online graphing calculators to plot the data points and the line of best fit based on this calculation.