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 - 19
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
Gardeyn
6
75 kgTurgis
7
70 kgStassen
8
66 kgJakin
9
71 kgLeroux
13
79 kgGodrie
16
74 kg
6
75 kgTurgis
7
70 kgStassen
8
66 kgJakin
9
71 kgLeroux
13
79 kgGodrie
16
74 kg
Weight (KG) →
Result →
79
66
6
16
| # | Rider | Weight (KG) |
|---|---|---|
| 6 | GARDEYN Gorik | 75 |
| 7 | TURGIS Anthony | 70 |
| 8 | STASSEN Julien | 66 |
| 9 | JAKIN Alo | 71 |
| 13 | LEROUX Samuel | 79 |
| 16 | GODRIE Stan | 74 |