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 * weight + 14
This means that on average for every extra kilogram weight a rider loses -0 positions in the result.
Duclos-Lassalle
4
73 kgMaertens
6
65 kgThaler
7
60 kgPrim
8
76 kgKnudsen
13
79 kgNilsson
18
63 kgKuiper
20
69 kg
4
73 kgMaertens
6
65 kgThaler
7
60 kgPrim
8
76 kgKnudsen
13
79 kgNilsson
18
63 kgKuiper
20
69 kg
Weight (KG) →
Result →
79
60
4
20
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | DUCLOS-LASSALLE Gilbert | 73 |
| 6 | MAERTENS Freddy | 65 |
| 7 | THALER Klaus-Peter | 60 |
| 8 | PRIM Tommy | 76 |
| 13 | KNUDSEN Knut | 79 |
| 18 | NILSSON Sven-Åke | 63 |
| 20 | KUIPER Hennie | 69 |