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 = 0.5 * weight - 24
This means that on average for every extra kilogram weight a rider loses 0.5 positions in the result.
Stites
1
60 kgSevilla
3
62 kgLópez
4
59 kgSheehan
7
69 kgMurphy
8
67 kgHenao
9
61 kgLange
10
72 kg
1
60 kgSevilla
3
62 kgLópez
4
59 kgSheehan
7
69 kgMurphy
8
67 kgHenao
9
61 kgLange
10
72 kg
Weight (KG) →
Result →
72
59
1
10
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | STITES Tyler | 60 |
| 3 | SEVILLA Óscar | 62 |
| 4 | LÓPEZ Miguel Ángel | 59 |
| 7 | SHEEHAN Riley | 69 |
| 8 | MURPHY Kyle | 67 |
| 9 | HENAO Sergio | 61 |
| 10 | LANGE Colby | 72 |