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 - 8
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
Hutarovich
1
71 kgCardoso
2
70 kgRoux
5
73 kgCardoso
6
70 kgTombak
7
71 kgBelgasem
8
68 kgLadagnous
10
73 kg
1
71 kgCardoso
2
70 kgRoux
5
73 kgCardoso
6
70 kgTombak
7
71 kgBelgasem
8
68 kgLadagnous
10
73 kg
Weight (KG) →
Result →
73
68
1
10
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | HUTAROVICH Yauheni | 71 |
| 2 | CARDOSO Manuel Antonio Leal | 70 |
| 5 | ROUX Anthony | 73 |
| 6 | CARDOSO Filipe | 70 |
| 7 | TOMBAK Janek | 71 |
| 8 | BELGASEM Ahmed Youssef | 68 |
| 10 | LADAGNOUS Matthieu | 73 |