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 = -0.2 * weight + 23
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Seigneur
2
71 kgRué
3
74 kgBarthe
5
65 kgMauri
6
68 kgVasseur
7
70 kgAus
8
75 kgPiziks
9
70 kgLuttenberger
10
60 kg
2
71 kgRué
3
74 kgBarthe
5
65 kgMauri
6
68 kgVasseur
7
70 kgAus
8
75 kgPiziks
9
70 kgLuttenberger
10
60 kg
Weight (KG) →
Result →
75
60
2
10
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | SEIGNEUR Eddy | 71 |
| 3 | RUÉ Gérard | 74 |
| 5 | BARTHE Stéphane | 65 |
| 6 | MAURI Melchor | 68 |
| 7 | VASSEUR Cédric | 70 |
| 8 | AUS Lauri | 75 |
| 9 | PIZIKS Arvis | 70 |
| 10 | LUTTENBERGER Peter | 60 |