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 = 0.6 * weight - 32
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
Stites
1
60 kgSheehan
2
69 kgLópez
3
59 kgSevilla
7
62 kgMurphy
11
67 kgHlady
13
65 kgHenao
15
61 kgLange
18
72 kg
1
60 kgSheehan
2
69 kgLópez
3
59 kgSevilla
7
62 kgMurphy
11
67 kgHlady
13
65 kgHenao
15
61 kgLange
18
72 kg
Weight (KG) →
Result →
72
59
1
18
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | STITES Tyler | 60 |
| 2 | SHEEHAN Riley | 69 |
| 3 | LÓPEZ Miguel Ángel | 59 |
| 7 | SEVILLA Óscar | 62 |
| 11 | MURPHY Kyle | 67 |
| 13 | HLADY Gavin | 65 |
| 15 | HENAO Sergio | 61 |
| 18 | LANGE Colby | 72 |