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 = 0.4 * weight - 16
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
Ripoll
6
66 kgWinnen
9
60 kgLlach
11
58 kgStephens
13
65 kgHodge
15
74 kgPrado
20
69 kg
6
66 kgWinnen
9
60 kgLlach
11
58 kgStephens
13
65 kgHodge
15
74 kgPrado
20
69 kg
Weight (KG) →
Result →
74
58
6
20
| # | Rider | Weight (KG) |
|---|---|---|
| 6 | RIPOLL José Andrés | 66 |
| 9 | WINNEN Peter | 60 |
| 11 | LLACH Joaquin | 58 |
| 13 | STEPHENS Neil | 65 |
| 15 | HODGE Stephen | 74 |
| 20 | PRADO Vicente | 69 |