Regression line on weight and result
With regression analysis we can check if there is a relationship between a dependent (also called outcome variable) and an independent variable. In this statistic, the relationship between the weight of a rider and the result (outcome) is investigated.
The formula for the regression line on the riders in the result is as follows:
The formula for the regression line on the riders in the result is as follows:
result = 0.2 * weight - 11
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
Ligthart
1
72 kgHerrada
2
70 kgArashiro
3
64 kgLadagnous
4
73 kgCousin
5
74 kgLemarchand
6
67 kgPlaza
8
77 kg
1
72 kgHerrada
2
70 kgArashiro
3
64 kgLadagnous
4
73 kgCousin
5
74 kgLemarchand
6
67 kgPlaza
8
77 kg
Weight (KG) →
Result →
77
64
1
8
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | LIGTHART Pim | 72 |
| 2 | HERRADA Jesús | 70 |
| 3 | ARASHIRO Yukiya | 64 |
| 4 | LADAGNOUS Matthieu | 73 |
| 5 | COUSIN Jérôme | 74 |
| 6 | LEMARCHAND Romain | 67 |
| 8 | PLAZA Rubén | 77 |