QtiPlot 0.9.7 project file
<scripting-lang>	muParser
<windows>	4
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Table1	31	13	27/04/11 11:53:29
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(col(7)-col(6))/0.1
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0.7
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0.5*281*col(6)^2
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sqrt((978.7*col(4)*0.2)^2+(23.2*col(4)*0.1)^2+(23.2*978.7*col(5))^2)
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Comments	tempo(sec)	x(cm)	dx(cm)	y(cm)	dy(cm)	v(cm/s)	dv(cm/s)	K(ergs)	dK(ergs)	U(ergs)	dU(ergs)	Emec(ergs)	dE(ergs)	
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\l(1) K
\l(2) U
\l(3) Emec
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<Title>LinearFit1</Title>
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Function: A*x+B
B = 3.750000e+00 +/- 4.11843e-01
A = 7.99450e+01 +/- 1.0377e+00
aceleracao=(80 <u>+</u> 1) cm/<sup>2</sup>
M=(257.8 <u>+</u> 0.2)g
m=(23.2 <u>+</u> 0.2) g

a<sub>teorico</sub>=(80.80 <u>+</u> 0.06 ) cm/<sup>2</sup>
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tempo de queda (1.07<u>+</u>0.03) s
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Regiao I
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Regiao II
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<log>
[27/04/11 12:50:22	Plot: ''Graph3'']
Linear Regression of dataset: Table1_6, using function: A*x+B
Weighting Method: Instrumental, using error bars dataset: Table1_7
From x = 5.0000000000000e-02 to x = 6.5000000000000e-01
B (y-intercept) = 3.7500000000000e+00 +/- 4.1184388379019e-01
A (slope) = 7.9945054945055e+01 +/- 1.0377490433255e+00
--------------------------------------------------------------------------------------
Chi^2/doF = 1.2627678444005e+00
R^2 = 0.9976649167287
Adjusted R^2 = 0.9971979000745
RMSE (Root Mean Squared Error) = 1.123729435585
RSS (Residual Sum of Squares) = 13.89044628841
---------------------------------------------------------------------------------------

</log>