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 = -0.7 * weight + 54
This means that on average for every extra kilogram weight a rider loses -0.7 positions in the result.
Gène
1
67 kgVoeckler
2
71 kgTleubayev
3
70 kgAmanuel
6
63 kgCharteau
8
67 kgStalnov
10
63 kg
1
67 kgVoeckler
2
71 kgTleubayev
3
70 kgAmanuel
6
63 kgCharteau
8
67 kgStalnov
10
63 kg
Weight (KG) →
Result →
71
63
1
10
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GÈNE Yohann | 67 |
| 2 | VOECKLER Thomas | 71 |
| 3 | TLEUBAYEV Ruslan | 70 |
| 6 | AMANUEL Meron | 63 |
| 8 | CHARTEAU Anthony | 67 |
| 10 | STALNOV Nikita | 63 |