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 = 0.3 * weight - 12
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
Meier
2
69 kgKivilev
3
64 kgMeier
4
60 kgThijs
6
69 kgJärmann
8
73 kgBölts
9
73 kgSchnider
10
65 kg
2
69 kgKivilev
3
64 kgMeier
4
60 kgThijs
6
69 kgJärmann
8
73 kgBölts
9
73 kgSchnider
10
65 kg
Weight (KG) →
Result →
73
60
2
10
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | MEIER Armin | 69 |
| 3 | KIVILEV Andrei | 64 |
| 4 | MEIER Roland | 60 |
| 6 | THIJS Erwin | 69 |
| 8 | JÄRMANN Rolf | 73 |
| 9 | BÖLTS Udo | 73 |
| 10 | SCHNIDER Daniel | 65 |