The yellow circles are the data points. The purple(ish) line is the straight line. The blue-green curve is the parabola. The red curve which intersects every data point is the "curve".

If the path of the projectile was a straight line, a straight line should fit the data best and if the path of the projectile was a parabola, an equation having the basic properties of a parabola would fit the data best.

Using linear regression, the best fits were:

y:horz dist x:vert fall Type graph Equation Corr Coef* straight line: y= 0.47x + 7.39 0.9951 parabola : y= 4.26(x^0.5) [x=(0.235y)^2] 0.9998 curve : y= 3.53(x^0.537) [x=(0.282y)^1.86] 0.9999

*Corr Coef = correlation coefficient : tells how closely the equation reflects the data.

I used linear regression a third time to determine exactly what type if curve would fit the data most closely. This curve is almost a parabola.

From the correlation coefficient and the graph it is obvious that the parabola fits the data much more closely than the straight line.

- Experiment Group Home Page
- Parabola Introduction
- Parabola Experiment Introduction
- Parabola Experiment Procedure
- Parabola Experiment Data
- Parabola Experiment Data Analysis, part 1

written by:Sharmaine Jenningsemail address:vanese@owlnet.rice.edu last revised: April 17, 1995