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 = 0.1 * weight + 2
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
Heppner
1
69 kgJemison
9
71 kgVasseur
10
70 kgMichaelsen
15
79 kgDurand
16
76 kgHervé
18
62 kgCapelle
19
73 kg
1
69 kgJemison
9
71 kgVasseur
10
70 kgMichaelsen
15
79 kgDurand
16
76 kgHervé
18
62 kgCapelle
19
73 kg
Weight (KG) →
Result →
79
62
1
19
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | HEPPNER Jens | 69 |
| 9 | JEMISON Marty | 71 |
| 10 | VASSEUR Cédric | 70 |
| 15 | MICHAELSEN Lars | 79 |
| 16 | DURAND Jacky | 76 |
| 18 | HERVÉ Pascal | 62 |
| 19 | CAPELLE Christophe | 73 |