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 + 27
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
Durand
2
76 kgMoncassin
4
73 kgCordes
5
70 kgHodge
6
74 kgDufaux
7
60 kgJeker
8
72 kgRobin
10
63 kg
2
76 kgMoncassin
4
73 kgCordes
5
70 kgHodge
6
74 kgDufaux
7
60 kgJeker
8
72 kgRobin
10
63 kg
Weight (KG) →
Result →
76
60
2
10
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | DURAND Jacky | 76 |
| 4 | MONCASSIN Frédéric | 73 |
| 5 | CORDES Tom | 70 |
| 6 | HODGE Stephen | 74 |
| 7 | DUFAUX Laurent | 60 |
| 8 | JEKER Fabian | 72 |
| 10 | ROBIN Jean-Cyril | 63 |