HunterProject

Question: Does the height of someone relate to how fast they can run?
 * Height || Boy || Girl || Height ||
 * 5'9" || 6.9 || 9.3 || 5'7" ||
 * 5'7" || 7.1 || 9.2 || 5'10" ||
 * 6'1" || 6.7 || 9.8 || 5'8" ||
 * 6'3" || 6.3 || 10.2 || 5'11" ||
 * 5'10" || 7.1 || 8.8 || 5'8" ||
 * 6'2" || 7.3 || 9.5 || 6'2" ||
 * 5'10" || 7.0 || 9.3 || 6'0" ||
 * 5'9" || 6.8 || 10.7 || 5'11" ||
 * 5'8" || 6.5 || 9.8 || 5'5" ||
 * 6'1" || 7.2 || 9.9 || 5'7" ||

__**Explanatory Variable:**__ The height of the person

__**Response Variable****:**__ How fast the person can run

The height is measured in feet and inches.

I believe there will be a positive association between the height and how fast they can run because the taller the person the faster they can run.

I will have a group of guys run the 50 yard dash and do the same with the girls.


 * Sample Size=** 20
 * Correlation Coefficient r=** 0.33890
 * Coefficient of Determination (r^2)=** 0.11485
 * Correlation= ** 0.25765742

As I expected the height didn't have anything to do with how fast they ran the 50 yard dash. Even though some people that were tall ran slower than people that were short there were to many different times between short people and tall people to make the conclusion that tall people run faster then shorter people. The scatter plot is random and all spread out. The correlation was like I predicted that it would be a positive correlation. Also r= .33890 which is close to 1. So what I predicted about the correlation and what r equaled where right.