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 + 42
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
Prim
3
76 kgKnudsen
5
79 kgDuclos-Lassalle
6
73 kgNilsson
10
63 kgMaertens
15
65 kgThaler
16
60 kgDierickx
21
74 kg
3
76 kgKnudsen
5
79 kgDuclos-Lassalle
6
73 kgNilsson
10
63 kgMaertens
15
65 kgThaler
16
60 kgDierickx
21
74 kg
Weight (KG) →
Result →
79
60
3
21
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | PRIM Tommy | 76 |
| 5 | KNUDSEN Knut | 79 |
| 6 | DUCLOS-LASSALLE Gilbert | 73 |
| 10 | NILSSON Sven-Åke | 63 |
| 15 | MAERTENS Freddy | 65 |
| 16 | THALER Klaus-Peter | 60 |
| 21 | DIERICKX André | 74 |